[10372] " "

[10373] "https://t.co/Ef5oS6X0KX"

[10374] " "

[10375] " "

[10376] "#End"

[10377] "britainelects"

[10378] "#Polls"

[10379] "https://t.co/rdCUzHZC1E"

[10380] "breakfast"

[10381] "https://t.co/1xFvC510XR"

[10382] "https://t.co/Hb3p6UMvbs"

[10383] "@SgtTCS"

[10384] "uKip"

[10385] "Who's"

[10386] "Remain"

[10387] "go's"

[10388] "@SurprisesVotes"

[10389] "#learnforex"

[10390] "ICM"

[10391] "https://t.co/ufzj69MUAX"

[10392] "#forexeducation"

[10393] "wild"

[10394] "animals"

[10395] "circuses"

[10396] "puppy"

[10397] "badgers"

[10398] "bees"

[10399] "@NationalistJay"

[10400] "Kober"

[10401] "alienated"

[10402] "5,000"

[10403] "insanity"

[10404] "traitorous"

[10405] "betrayed"

[10406] "#Haringey"

[10407] "PeoplesMomentum"

[10408] "https://t.co/CIOH7mPnVS"

[10409] "@RightOpinionYT"

[10410] "towns"

[10411] "villages"

[10412] "btw"

[10413] "farmer"

[10414] "https://t.co/xy4rf2WN7O"

[10415] "journey"

[10416] "daily"

[10417] "trains"
## [10418] "non-stop"
## [10419] "specials"
## [10420] "lt"
## [10421] "3h"
## [10422] "60min"
## [10423] "https://t.co/v5tjU3xRMh"
## [10424] "@robmcd85"
## [10425] "unable"
## [10426] "medical"
## [10427] "emergency"
## [10428] "proxy"
## [10429] "https://t.co/ahRvyqYz8K"
## [10430] "@dreams_indy"
## [10431] "unused"
## [10432] "#useyourvote"
## [10433] "trafficking"
## [10434] "Source"
## [10435] "trafficked"
## [10436] "worker"
## [10437] "definition"
## [10438] "involve"
## [10439] "coercion"
## [10440] "@monkeylikestea"
## [10441] "Nuttal"
## [10442] "#FairerSociety"
## [10443] "https://t.co/of22K66Wm5"
## [10444] "subsequent"
## [10445] "religious"
## [10446] "@djaycov"
## [10447] "bollocks"
## [10448] "Houses"
## [10449] "soaring"
## [10450] "built"
## [10451] "@HunnyBegum"
## [10452] "@SS1Mac"
## [10453] "@BBCNewsround"
## [10454] "@GMB"
## [10455] "@theoneshow"
## [10456] "@thismorning"
## [10457] "@thetimes"
## [10458] "@MailOnline"
## [10459] "https://t.co/GgtQGw"
## [10460] "Cyfarthfa"
## [10461] "@AmyKitcher"
## [10462] "Evans"
## [10463] "#Defend"
[10464] "https://t.co/HM5YT3hWEZ"
[10465] "@lexkitching"
[10466] "farmers"
[10467] "circa"
[10468] "1970"
[10469] "colourised"
[10470] "https://t.co/eLwIohOvoD"
[10471] "https://t.co/VV2B3RGakS"
[10472] "disappointing"
[10473] "hardship"
[10474] "foreign"
[10475] "aid"
[10476] "https://t.co/OnVA6fTIEq"
[10477] "@NancyPelosi"
[10478] "freedom"
[10479] "Huh"
[10480] "#BigGovSucks"
[10481] "https://t.co/R1X83R1nLD"
[10482] "@JennaDavisUK"
[10483] "@Januarynightss"
[10484] "badness"
[10485] "@KJDGooner"
[10486] "https://t.co/gLL0TxPw1q"
[10487] "@DavidHadley1973"
[10488] "affects"
[10489] "events"
[10490] "https://t.co/Z4MhjuUeiZ"
[10491] "@TheNickTesco"
[10492] "fucks"
[10493] "clarity"
[10494] "houses"
[10495] "#dem"
[10496] "@Nevilles_Howler"
[10497] "faults"
[10498] "https://t.co/XUEnIidekF"
[10499] "willingly"
[10500] "#dumb"
[10501] "@nha_swsurrey"
[10502] "#electdrlouise"
[10503] "https://t.co/HcYAcT9x9X"
[10504] "@PatriciaNPino"
[10505] "Stiglitz"
[10506] "https://t.co/pKNuKEC7cE"
[10507] "@SarahO_Connell"
[10508] "https://t.co/h05rbr8mEw"
[10509] "@NicolineKure"
## [10510] "https://t.co/1IWS70FKQE"
## [10511] "structural"
## [10512] "surplus"
## [10513] "13.8b"
## [10514] "transformed"
## [10515] "150b"
## [10516] "https://t.co/fWiWGDineh"
## [10517] "No1"
## [10518] "#Ge2017"
## [10519] "@CllrDuncanSmith"
## [10520] "congrats"
## [10521] "stab"
## [10522] "@gazzahead"
## [10523] "politician"
## [10524] "ponder"
## [10525] "https://t.co/VjRloNeJWk"
## [10526] "BRILLIANT"
## [10527] "Inspired"
## [10528] "Cymru"
## [10529] "north"
## [10530] "votail"
## [10531] "Fein"
## [10532] "#SinnFein"
## [10533] "#Plaid"
## [10534] "@AliceBeggs"
## [10535] "squabble"
## [10536] "https://t.co/vVgaGUbraL"
## [10537] "@elmorautio"
## [10538] "https://t.co/VE65Hhs8of"
## [10539] "@maxphillips"
## [10540] "@AnnCoulterChat"
## [10541] "@AnnCoulter"
## [10542] "Milo"
## [10543] "Fans"
## [10544] "https://t.co/uXGxEyJ3AO"
## [10545] "@NFencement"
## [10546] "20k"
## [10547] "@1LaneOnly"
## [10548] ""
## [10549] "https://t.co/u7xrr6tGp2"
## [10550] "@Harryslaststand"
## [10551] "@SheemzB"
## [10552] "https://t.co/07MnFUSexL"
## [10553] "embarrassing"
## [10554] "mindfuck"
## [10555] "https://t.co/1nbl03zVA1"
[10556] "@RedondoSaint"
[10557] "That'll"
[10558] "Selling"
[10559] "utilities"
[10560] "disgraceful"
[10561] "https://t.co/BztHya9bqA"
[10562] "https://t.co/gUDLrg8hf7"
[10563] "@KristenSkybound"
[10564] "@GareeDouglass"
[10565] "@65491martin"
[10566] "@CaptainNemo3000"
[10567] "@Whistlingghost"
[10568] "@unicorns88_jazz"
[10569] "@dhaybron1"
[10570] "@spanks69"
[10571] "@aabcconwoman"
[10572] "@arizdare1"
[10573] "@subtel1"
[10574] "@Gas8128"
[10575] "@troyawalters"
[10576] "@MaryAKoontz"
[10577] "@RNcat50"
[10578] "@Ettan1945"
[10579] "@wayneer80ed"
[10580] "@pmclauth"
[10581] "@PrisonPlanet"
[10582] "@andos741"
[10583] "@Huggies11"
[10584] "Ideally"
[10585] "viable"
[10586] "stomped"
[10587] "extinguished"
[10588] "https://t.co/A3eL6sBxp1"
[10589] "@jamiefreeman"
[10590] "#Sherlock"
[10591] "fans"
[10592] "brother"
[10593] "@158MarkG"
[10594] "@razisidd"
[10595] "Absolutely"
[10596] "Tory-lite"
[10597] "Thankyou"
[10598] "wanton"
[10599] "greed"
[10600] "@rosscolquhoun"
[10601] "total"
## [10602] "https://t.co/j77lCdetAv"
## [10603] "l'll"
## [10604] "https://t.co/6JH8fnqCTi"
## [10605] "selling"
## [10606] "extensive"
## [10607] "dossier"
## [10608] "crimes"
## [10609] "#bristol"
## [10610] "https://t.co/jxbES26a"
## [10611] "@RoaringNurse"
## [10612] "speechless"
## [10613] "Europol"
## [10614] "weed"
## [10615] "smears"
## [10616] "insulted"
## [10617] "https://t.co/NgxGzlDZnP"
## [10618] "Realised"
## [10619] "eleventh"
## [10620] "surrey"
## [10621] "heath"
## [10622] "YAAAAAAY"
## [10623] ""
## [10624] "@hmybritannia"
## [10625] "@ben4ipswich"
## [10626] "#Ipswich"
## [10627] "https://t.co/pw9U17PwIp"
## [10628] "switched"
## [10629] "https://t.co/9Z5a6KifNt"
## [10630] "@CritchleyBob"
## [10631] "MI5"
## [10632] "anti-democratic"
## [10633] "independence"
## [10634] "@SorchaMacLennan"
## [10635] "account"
## [10636] "https://t.co/jDekoDo3ep"
## [10637] "@RossFiddes"
## [10638] "twenties"
## [10639] "1000"
## [10640] "LOWEST"
## [10641] "@JamesCleverly"
## [10642] "#Braintree"
## [10643] "#Essex"
## [10644] "https://t.co/oW09ndDZXb"
## [10645] "@CubaMac24"
## [10646] "08"
## [10647] "https://t.co/1Bf4LwqkVP"
[10648] "https://t.co/QTUSI4qNOG"

[10649] "hypocrite"

[10650] "@nickcorston"

[10651] "bold"

[10652] "#YOURturn"

[10653] "https://t.co/lkf2LoyWnl"

[10654] "britain's"

[10655] "https://t.co/NVgzVUAskB"

[10656] "https://t.co/d89IACd2ml"

[10657] "@datcat"

[10658] "@3terrismith"

[10659] "https://t.co/e7C3vFW4Nv"

[10660] "Always"

[10661] "boys"

[10662] "https://t.co/SkoY5nQvAb"

[10663] "denies"

[10664] "@DanNerdCubed"

[10665] "reported"

[10666] "https://t.co/uIL9H9dbGf"

[10667] "@wirral_in_it"

[10668] "culture"

[10669] "respects"

[10670] "decency"

[10671] "@TitaniumTester"

[10672] "unfair"

[10673] "#fptp"

[10674] "#pr"

[10675] "@julievitalxpose"

[10676] "https://t.co/SrdUkq8atf"

[10677] "CAMPAIGNING"

[10678] "PART"

[10679] "https://t.co/o9LxKmZ7c1"

[10680] "Definateley"

[10681] "@JDjanogly"

[10682] "@becmccluskey_"

[10683] "7,000"

[10684] "delivery"

[10685] "baby"

[10686] "@singofhisgrace"

[10687] "@JohnReid16"

[10688] "Paradise"

[10689] "struck"

[10690] "Marina"

[10691] "Hyde"

[10692] "https://t.co/fFUg6vvtmW"

[10693] "dyin"
[10694] "votin"
[10695] "Boi"
[10696] "#Channel4News"
[10697] "@Doctor_J_"
[10698] "workings-out"
[10699] "separate"
[10700] "@rifat_sheikh"
[10701] "https://t.co/JxkkKgmG3t"
[10702] "#MagicMoneyTree"
[10703] "https://t.co/5HNltWSQ03"
[10704] "understatement"
[10705] "https://t.co/bh6QD05uzF"
[10706] "Cable"
[10707] "moderate"
[10708] "Soubry"
[10709] "Fabricant"
[10710] "persecution"
[10711] "shameful"
[10712] "Boot"
[10713] "https://t.co/pMc8AKn0Du"
[10714] "https://t.co/yVOXURxLg7"
[10715] "@RedShiftRadioUK"
[10716] "#OutAndAbout"
[10717] "@CreweChronicle"
[10718] "@HopeHouseKids"
[10719] "#HustingsNantwich"
[10720] "#ClimbKili2017"
[10721] "@TheDabbers"
[10722] "@rdwnantwich"
[10723] "@Residenceuk"
[10724] "https://t.co/pSYQALs8zj"
[10725] "https://t.co/MJWTE1zvlU"
[10726] "@Karl_Downey"
[10727] "Turn"
[10728] "#Thurrock"
[10729] "purple"
[10730] "#BBCElection"
[10731] "#LabourOUT"
[10732] "@LucyHockingsBBC"
[10733] "entertained"
[10734] "@JonathanPieNews"
[10735] "satire"
[10736] "@BBCWorld"
[10737] "checkin"
[10738] "@akalamusic"
[10739] "@UniofOxford"
[10740] "fascinating"
[10741] "intriguing"
[10742] "#Grime4Corbyn"
[10743] "revive"
[10744] "80s"
[10745] "https://t.co/R4fhvaZfZ8"
[10746] "protecting"
[10747] "gender-based"
[10748] "@cookster636"
[10749] "odd"
[10750] "@n10hairbear"
[10751] "persistent"
[10752] "official"
[10753] "ripped"
[10754] "shreds"
[10755] "@mmgallo64"
[10756] "@Coffeeisforclo1"
[10757] "ex-UKIP"
[10758] "voyers"
[10759] "dislike"
[10760] "proceed"
[10761] "humbled"
[10762] "PS"
[10763] "#labourdoorstep"
[10764] "here's"
[10765] "https://t.co/0kbJK8h4Yz"
[10766] "https://t.co/gesXBFoNzn"
[10767] "https://t.co/zZYRRFWpPo"
[10768] "Self-Rescuing"
[10769] "Princess"
[10770] "Gazette"
[10771] "https://t.co/cUI8S2JI8D"
[10772] "@CocoDavies"
[10773] "@BreeNewsome"
[10774] "@bonniegrrl"
[10775] "#india"
[10776] "Arguably"
[10777] "viewed"
[10778] "https://t.co/fYWAAAtB97l"
[10779] "@CesarCalderon"
[10780] "Finalmente"
[10781] "Yougov"
[10782] "hace"
[10783] "crecer"
[10784] "su"
[10785] "horquilla"
## [10786] "exactamente"
## [10787] "hasta"
## [10788] "la"
## [10789] "diferencia"
## [10790] "conservadores"
## [10791] "Furthermore"
## [10792] "evidence"
## [10793] "suggest"
## [10794] "legal"
## [10795] "models"
## [10796] "impact"
## [10797] "bizarre"
## [10798] "Ferrari"
## [10799] "lapped"
## [10800] "dare"
## [10801] "#DefendDianeAbbott"
## [10802] "@RacingDaily"
## [10803] "implore"
## [10804] "negotiate"
## [10805] "https://t.co/zH60wMgQ39"
## [10806] "#women"
## [10807] "#suffragettes"
## [10808] ""
## [10809] "https://t.co/VCJD97KrY2"
## [10810] "@VoteDMiller"
## [10811] "decline"
## [10812] "#VenkysOut"
## [10813] "https://t.co/NNUTRaf1Mi"
## [10814] "https://t.co/a0190nLvY5"
## [10815] "@IMkbe"
## [10816] "hinted"
## [10817] "https://t.co/HcE95zxAkW"
## [10818] "@GavinLundy"
## [10819] "LOOK"
## [10820] "guessing"
## [10821] "https://t.co/AjLW1DxfG2"
## [10822] "Hearing"
## [10823] "slim"
## [10824] "glimmer"
## [10825] "https://t.co/TpvIyVr7SI"
## [10826] "@liffyoppelt"
## [10827] "#APPLE"
## [10828] "edge"
## [10829] "https://t.co/15DA6KVt19"
## [10830] ""
## [10831] "https://t.co/7gAHfJ6uAJ"
[10832] "https://t.co/aJayACSYym"
[10833] "@dienrot"
[10834] "portraying"
[10835] "donald"
[10836] "mentally"
[10837] "bigotry"
[10838] "https://t.co/5lsS"
[10839] "crack"
[10840] "#Westminster"
[10841] "Note"
[10842] "shorter"
[10843] "@juliamacfarlane"
[10844] "@Glam_Ready"
[10845] "@Lloydboy56"
[10846] "https://t.co/bbkowCBoCa"
[10847] "certainty"
[10848] "vary"
[10849] "2m"
[10850] "countdown"
[10851] "https://t.co/pF74eiwSiF"
[10852] "https://t.co/1cQvwfKfLv"
[10853] "#fakeservative"
[10854] "https://t.co/bQKLOAMFvg"
[10855] "thumbnail"
[10856] "captured"
[10857] "Replies"
[10858] "https://t.co/Z41n5CSa8e"
[10859] "@Shumiea_"
[10860] "Manchester"
[10861] "Dem's"
[10862] "https://t.co/ZA5Y1gIYCr"
[10863] "https://t.co/P2ug6ry4f0"
[10864] "@petewylie"
[10865] "Ratio"
[10866] "https://t.co/bAYjTtolwS"
[10867] "rip"
[10868] "https://t.co/y182"
[10869] "@pisswig"
[10870] "Fauntleroys"
[10871] "lay"
[10872] "voddie"
[10873] "https://t.co/LUgXiGoweC"
[10874] "@NCLGreenParty"
[10875] "tired"
[10876] "@MikeNicholas2"
[10877] "@azaboy21"
## [10878] "Buffoon"
## [10879] "loaded"
## [10880] "https://t.co/96lesBRIuU"
## [10881] "soldiers"
## [10882] "https://t.co/rGm9"
## [10883] "@NSydenham"
## [10884] "paedos"
## [10885] "https://t.co/KeL"
## [10886] "underway"
## [10887] "Coverage"
## [10888] "#Westminister"
## [10889] "https://t.co/1ykw3dR2qy"
## [10890] "@kalireporting"
## [10891] "@JohnCleese"
## [10892] "multi-millionaire"
## [10893] "bankers"
## [10894] "drowned"
## [10895] "@The80sBoy"
## [10896] "Estate"
## [10897] "Website"
## [10898] "Urges"
## [10899] "Buy"
## [10900] "Texas"
## [10901] "Homes"
## [10902] "https://t.co/Zf9Fbrd6Tn"
## [10903] "@brexit_sham"
## [10904] "priceless"
## [10905] "bargained"
## [10906] "https://t.co/fe2M5DtEOX"
## [10907] "Brexiteer"
## [10908] "https://t.co/Tsfeg1452T"
## [10909] "@sallycroachy"
## [10910] "Paradigm"
## [10911] "required"
## [10912] "cyp"
## [10913] "#ACE"
## [10914] "insights"
## [10915] "@connectedbaby"
## [10916] "Voting-wise"
## [10917] "2004"
## [10918] "Skinner"
## [10919] "Willow"
## [10920] "#Millwall"
## [10921] "#fansunited"
## [10922] "#Venkys"
## [10923] "https://t.co/zoPHZVYIy2"
[10924] "ummed"
[10925] "ahhed"
[10926] "clothes"
[10927] "clarify"
[10928] "Erm"
[10929] "https://t.co/wnEYIhEWiS"
[10930] "ceases"
[10931] "amaze"
[10932] "@Mancman10"
[10933] "18"
[10934] "Apr"
[10935] "announces"
[10936] "46.6"
[10937] "25.6"
[10938] "43.1"
[10939] "36.4"
[10940] "https://t.co/shcnxtXuCU"
[10941] "@freddygwynne17"
[10942] "English"
[10943] "promotion"
[10944] "stinks"
[10945] "desperation"
[10946] "#YourGoingDownBigly"
[10947] "uno"
[10948] "https://t.co/2qrl315aAU"
[10949] "@MartinShovel"
[10950] "cartoon"
[10951] "post-truth"
[10952] "#BBC1News"
[10953] "https://t.co/yBYN6yQWLm"
[10954] "Sending"
[10955] "vibes"
[10956] "Convention"
[10957] "@sinnfein"
[10958] "https://t.co/JNNn8fLF1G"
[10959] "@AR_Logic_Bomb"
[10960] "@waynestuartrc"
[10961] "Assange"
[10962] "sided"
[10963] "Regardless"
[10964] "#SethRich"
[10965] "@margot4stour"
[10966] "Cabinet"
[10967] "pleased"
[10968] "PM's"
[10969] "@mikaminio"
[10970] "excitedly"
[10971] "clipboard"
[10972] "Cos"
[10973] "Battersea"
[10974] "@Marshadecordova"
[10975] "https://t.co/v0fh1DUSz2"
[10976] "i've"
[10977] "https://t.co/Q3gu2pRYxz"
[10978] "@robvsnature"
[10979] "BTW"
[10980] "https://t.co/xe1Gizajpq"
[10981] "https://t.co/qi74DYFzAU"
[10982] "Inequality"
[10983] "@JosephEstiglitz"
[10984] "https://t.co/PJ5pCMIe0V"
[10985] "awareness"
[10986] "https://t.co/05kyHroB4M"
[10987] "https://t.co/WcntPBMQ38"
[10988] "@ERFactual"
[10989] "TMay"
[10990] "Climate"
[10991] "Planet"
[10992] "Earth"
[10993] "https://t.co/DwQ4uNZ1rt"
[10994] ""
[10995] ""
[10996] "#liberalsunited"
[10997] "https://t.co/QupFAj4b11"
[10998] "OTC"
[10999] "charges"
[11000] "medicines"
[11001] "equity"
[11002] "outraged"
[11003] "https://t.co/SbJtNc0m31"
[11004] "@RedObservadores"
[11005] "#ReinoUnido"
[11006] "MAÑANA"
[11007] "colegios"
[11008] "electorales"
[11009] "abren"
[11010] "las"
[11011] "mañana"
[11012] "cierran"
[11013] "noche"
[11014] "hora"
[11015] "Rosianna"
[11016] "https://t.co/yejg9wguzM"

[11017] "https://t.co/N9uDB4UtQ0"

[11018] "repayment"

[11019] "@elizabetharia3"

[11020] "revolution"

[11021] "six"

[11022] "Scotland's"

[11023] "https://t.co/4XNc6PjLm0"

[11024] "Questions"

[11025] "Cuts"

[11026] "fewer"

[11027] "dodges"

[11028] "Prescient"

[11029] "#TooLate"

[11030] "https://t.co/tSmaHMa7by"

[11031] "wondering"

[11032] "fare"

[11033] "tip"

[11034] "https://t.co/tNqHHYsubP"

[11035] "https://t.co/cJyBN5cvt9"

[11036] "@TSLEJOG"

[11037] "anyone's"

[11038] "https://t.co/knpPVdhsbf"

[11039] "https://t.co/OXTWBkaJXh"

[11040] "https://t.co/BjWihWW1g5"

[11041] "Oth"

[11042] "https://t.co/RIx2GeYUhe"

[11043] "#TeamBroxtoweLabour"

[11044] ""

[11045] "#Broxtowe"

[11046] "https://t.co/eXeSiStmTo"

[11047] "@ChrisCBlue"

[11048] "@JBrokenshire"

[11049] "James"

[11050] "Un"

[11051] "46,9"

[11052] "millones"

[11053] "británicos"

[11054] "están"

[11055] "censados"

[11056] "votar"

[11057] "esta"

[11058] "#eleccióngeneral"

[11059] "impulsada"

[11060] "por"

[11061] "@glennswingler"
## [11062] "@ChangeScotland"
## [11063] "@LeanneWood"
## [11064] "depending"
## [11065] "libdem"
## [11066] "#NE1BUTtory"
## [11067] "sold"
## [11068] "#Votelabour"
## [11069] "#Undecided"
## [11070] "https://t.co/Vr7w0o4HWr"
## [11071] "Recent"
## [11072] "percent"
## [11073] "https://t.co/dBMtbwmfMK"
## [11074] "#Thunderclap"
## [11075] "tweetstorms"
## [11076] "@LadytronFashion"
## [11077] "shuffles"
## [11078] "corridor"
## [11079] "cell"
## [11080] "atonal"
## [11081] "whine"
## [11082] "escapes"
## [11083] "ulcerated"
## [11084] "throat"
## [11085] "https://t.co/vox34gID3F"
## [11086] "#JonSnow"
## [11087] "https://t.co/GTszKaE"
## [11088] "@christina014_"
## [11089] "https://t.co/L2adoPegcQ"
## [11090] "@fish_in_a_hat"
## [11091] "https://t.co/JpfKu1YBJ3"
## [11092] "rousing"
## [11093] "#HardBrexit"
## [11094] "posed"
## [11095] "visited"
## [11096] "https://t.co/7mW8XPmF3S"
## [11097] "https://t.co/Pp5IoOhWUs"
## [11098] "@AdamTheBlampied"
## [11099] "you'd"
## [11100] "easily-shareable"
## [11101] "https://t.co/gFuF2LpIxL"
## [11102] "@UKLab"
## [11103] "murder"
## [11104] "slaughter"
## [11105] "https://t.co/VH6bCvmWVz"
## [11106] "@Charitchie"
## [11107] "headlines"
[11108] "regime"
[11109] "#NineGrand"
[11110] "#NeverForget"
[11111] "#PoliticiansPromises"
[11112] "@AJEnglish"
[11113] "readies"
[11114] "tumultuous"
[11115] "https://t.co/IkKuzsVmUr"
[11116] "https://t.co/F2aFHUUi7x"
[11117] "https://t.co/bnLGCAPKgV"
[11118] "@mk247_"
[11119] "@Twitter"
[11120] "wid"
[11121] "@CharlotteFoot"
[11122] "gesture"
[11123] "@JurassicCoastCB"
[11124] "overnight"
[11125] "sight"
[11126] "https://t.co/JYTbrd2oMT"
[11127] "criticise"
[11128] "arrested"
[11129] "Remainers"
[11130] "wherever"
[11131] "https://t.co/h1OLZFwaIb"
[11132] "@GeorgeKane5"
[11133] "@Matthew_dcfc"
[11134] "@primeeconomics"
[11135] "impressed"
[11136] "@CommonsHomeAffs"
[11137] "Affairs"
[11138] "committee"
[11139] "probable"
[11140] "Cherry-picking"
[11141] "trident"
[11142] "@rob_nellie"
[11143] "@samyboy88"
[11144] "@eric36blair"
[11145] "Nope"
[11146] "Ilford"
[11147] "Fewer"
[11148] "investigate"
[11149] "@WifaqulUlama"
[11150] "sake"
[11151] "#country"
[11152] "#Future"
[11153] "#GetoutandVote"
## [11154] "#Wednesdaywisdom"
## [11155] "#Wednesdaysmotivation"
## [11156] "https://t.co/xgevVha8hm"
## [11157] "@ResoRobotsick"
## [11158] "pan"
## [11159] "tit"
## [11160] "https://t.co/C8hbeaQ7A2"
## [11161] "https://t.co/1qRFAE3PhC"
## [11162] "Osborne"
## [11163] "slammed"
## [11164] "Evening"
## [11165] "Standard's"
## [11166] "https://t.co/EShtpF0elA"
## [11167] "#GypsyAcora"
## [11168] "Gutted"
## [11169] "https://t.co/r3wkzIqCJu"
## [11170] "1948"
## [11171] "https://t.co/2NHPbmxBzN"
## [11172] "characters"
## [11173] "https://t.co/IZ"
## [11174] "reconsider"
## [11175] "https://t.co/nIvqYoFUh3"
## [11176] "@mctigues"
## [11177] "https://t.co/mBPkN4rjpU"
## [11178] "@AndyCChapman"
## [11179] "environmentalism"
## [11180] "theres"
## [11181] "connection"
## [11182] "@Femi_Sorry"
## [11183] "practically"
## [11184] "climb"
## [11185] "aboard"
## [11186] "THREAD"
## [11187] "https://t.co/Kjp1Fj1Ho0"
## [11188] "growth"
## [11189] "billionaires"
## [11190] "foodbanks"
## [11191] "DEFAMATION"
## [11192] "TODAY'S"
## [11193] "PAPERS"
## [11194] "WERE"
## [11195] "DISGUSTING"
## [11196] "DISPLAYED"
## [11197] "MEDIA"
## [11198] "NEWSPAPERS"
## [11199] "COUNTRY"
[11200] "https://t.co/Ls4Xsjv5q4"

[11201] "@velvetsilk"

[11202] "therefore"

[11203] "Shrewsbury"

[11204] "lend"

[11205] " dispose "

[11206] "particularly"

[11207] "unpleasant"

[11208] "https://t.co/NPftz5hC4e"

[11209] "@LlanrumneyLab"

[11210] "Hours"

[11211] "conversations"

[11212] "@SDoughtyMP"

[11213] "https://t.co/ddwzuMCJYZ"

[11214] "@Rob_S_Wilcock"

[11215] "@memarkharris"

[11216] "@thedenis1966"

[11217] "Putting"

[11218] "@SamanthaPippin7"

[11219] "@CCHQPress"

[11220] "@ConHome"

[11221] "@PanoPanucci"

[11222] "world-class"

[11223] "13K"

[11224] "Poles"

[11225] "Mandelson"

[11226] "rub"

[11227] "right's"

[11228] "diversity"

[11229] "@scaramangabond"

[11230] "greater"

[11231] "https://t.co/8Chi022yCp"

[11232] "https://t.co/K1eRXYBUTT"

[11233] "occurs"

[11234] "recall"

[11235] "u-turned"

[11236] "universally"

[11237] "berated"

[11238] "@callum_mccaig"

[11239] "Hamas"

[11240] "Syrians"

[11241] "flaw"

[11242] "th"

[11243] "@THLDs"

[11244] "@FP_Nerd"

[11245] "smiles"
[11246] "ice"
[11247] "@BolsoverDC"
[11248] "https://t.co/ItR0CPTrlF"
[11249] "https://t.co/Ub"
[11250] "@benatipsosmori"
[11251] "charts"
[11252] "https://t.co/LEVuz0kDA3"
[11253] "@ranveersbabe"
[11254] "whats"
[11255] "pants"
[11256] ""
[11257] "@conqueress95"
[11258] "https://t.co/nPBtNHs5Px"
[11259] "tommorow"
[11260] "Retweetother"
[11261] "ruined"
[11262] "@GreenVipul"
[11263] "@bristolgreen"
[11264] "https://t.co/0i2HCsg1Ge"
[11265] "https://t.co/GY0u7pe0uu"
[11266] "scaring"
[11267] "assurances"
[11268] "post-Brexit"
[11269] "Defra"
[11270] "https://t.co/KqpzG8yVd8"
[11271] "@MuftiAMohammed"
[11272] "@Abdussamad_AIF"
[11273] "@MPACUK"
[11274] "@RochdaleCoM"
[11275] "@MuslimCouncil"
[11276] "@azadaliCCM"
[11277] "@5Pillarsuk"
[11278] "@sulimangani"
[11279] "@mmulla"
[11280] "Shaykh"
[11281] "@ShkhAbdulRaheem"
[11282] "Saheb"
[11283] "Saleem"
[11284] "Dhorat"
[11285] "importance"
[11286] "#British"
[11287] "#Muslims"
[11288] "@PearlsofHaqq"
[11289] "https://t.co/SYtUqHU5vR"
[11290] "Put"
[11291] "Cor-bin"
[11292] "https://t.co/Y8w1lj0iYC"

[11293] "@SarrahHuckabee"

[11294] "Guys"

[11295] "Jam"

[11296] "slack"

[11297] "burn"

[11298] "books"

[11299] "delete"

[11300] "emails"

[11301] "https://t.co/jYJZgicpp8"

[11302] "Hands"

[11303] "https://t.co/jXUrn7HELd"

[11304] "@EmmaWhysall"

[11305] "#ChippingBarnet"

[11306] "https://t.co/8"

[11307] "https://t.co/zWfj42RwWt"

[11308] "@PollstationUK"

[11309] "speeds"

[11310] "#HS2"

[11311] "3x"

[11312] "conventional"

[11313] "inter-city"

[11314] "@TheCrosstab"

[11315] "Average"

[11316] "42.5"

[11317] "37.3"

[11318] "8.7"

[11319] "https://t.co/dIeQ9eTBI6"

[11320] "https://t.co/e3Z25Wwnqd"

[11321] "@IamalrightJack"

[11322] "Flash"

[11323] "Secret"

[11324] "Kill"

[11325] "Exposed"

[11326] "https://t.co/Oqi4dH4hVg"

[11327] "Terrorist"

[11328] "Sympathiser"

[11329] "paraded"

[11330] "Placard"

[11331] "Pig"

[11332] "Heads"

[11333] "@alexdelprete"

[11334] "@AnnPettifor"

[11335] "explaining"

[11336] "fallacies"

[11337] "https://t.co/IxB2oB9qyC"
[11338] "@_ssaira"
[11339] "determine"
[11340] "https://t.co/Y3rMTX8YtH"
[11341] "@topnuz_uk"
[11342] "Miliband"
[11343] "Via"
[11344] "Telegraph"
[11345] "http://t.co/lkKzCXImSo"
[11346] "@saraltareen"
[11347] "WITHOUT"
[11348] "precious"
[11349] "https://t.co/2pQcTZu9YB"
[11350] "@TheMendozaWoman"
[11351] "https://t.co/wm7L2I9E1q"
[11352] "#https"
[11353] "www.youtube.com/watch?v=8z2DYR_pDig"
[11354] "@kbsalbion"
[11355] "Tezza"
[11356] "@Quinncent"
[11357] "yearn"
[11358] "secretaries"
[11359] "merely"
[11360] "hated"
[11361] "https://t.co/vIU10gLOTJ"
[11362] "@didilorraine"
[11363] "#Labo"
[11364] "https://t.co/e63cg4GsNR"
[11365] "https://t.co/trTlhJ0TSh"
[11366] "Larf"
[11367] "@scotsquad"
[11368] "Ahead"
[11369] "conducting"
[11370] "Should"
[11371] "fourth"
[11372] "series"
[11373] "Squad"
[11374] "brochure"
[11375] "attract"
[11376] "punters"
[11377] "https://t.co/M1uai4K9ig"
[11378] "speaking"
[11379] "#EastBelfast"
[11380] "@GRobinsonDUP"
[11381] "prick"
[11382] "@danjamesrh12"
[11383] "https://t.co/a2r0Exr1o7"
[11384] "@LeighDay_Law"
[11385] "Download"
[11386] "guide"
[11387] "https://t.co/9j3J705"
[11388] "@vikibrown88"
[11389] "@HTH_Glasgow"
[11390] "#VoteForTheHomeless"
[11391] "#VoteForTheChildren"
[11392] "#HelpTheHomelessG1"
[11393] "@fbreckels"
[11394] "@m_colman"
[11395] "Lammy"
[11396] "amidst"
[11397] "uncertainty"
[11398] "#GardenTax"
[11399] "europhile"
[11400] "settle"
[11401] "https://t.co/sPVSzwmTjw"
[11402] "dishing"
[11403] "pipe"
[11404] "commies"
[11405] "loose"
[11406] "enquiry"
[11407] "origins"
[11408] "https://t.co/ZdfocNWbaC"
[11409] "#Carshalton"
[11410] "#Wallington"
[11411] "neighbors"
[11412] "Comments"
[11413] "@DestroyTheEU"
[11414] "postal"
[11415] "counted"
[11416] "@bigeyedear"
[11417] ""
[11418] "@bellshillbaker"
[11419] "@eddiesurfs"
[11420] "Ver"
[11421] "risco"
[11422] "perder"
[11423] "contra"
[11424] "é"
[11425] "golpe"
[11426] "fé"
[11427] "que"
[11428] "tenho"
[11429] "democracia"
## [11430] "inglesa"
## [11431] "https://t.co/f67YnKgANY"
## [11432] "nervous"
## [11433] "https://t.co/uFM84BgrLh"
## [11434] "https://t.co/U1dD10snkR"
## [11435] "hello"
## [11436] "meat"
## [11437] "jealous"
## [11438] "rice"
## [11439] "oxtable"
## [11440] "soup"
## [11441] "@CECHR_UoD"
## [11442] "Charities"
## [11443] "gagged"
## [11444] "https://t.co/SsQ9ALqo8w"
## [11445] "#Environment"
## [11446] "https://t.co/19PY4CiesK"
## [11447] "Finn"
## [11448] "Leeds"
## [11449] "https://t.co/2JNYJEkMaR"
## [11450] "Problem"
## [11451] "https://t.co/ZD34n1vWVT"
## [11452] "@JohnCassidy"
## [11453] "@NewYorker"
## [11454] "@WaitingGirl13"
## [11455] "suppose"
## [11456] "https://t.co/3AYWP"
## [11457] "@fionaunwin"
## [11458] "LoL"
## [11459] "eyeballs"
## [11460] "rusty"
## [11461] "blade"
## [11462] "soak"
## [11463] "sockets"
## [11464] "vinegar"
## [11465] "Tess"
## [11466] "@InverteBrett"
## [11467] "ward"
## [11468] "wreck"
## [11469] "https://t.co/MbgHoY77eT"
## [11470] "https://t.co/kyrYUaK92k"
## [11471] "@Brexshit2017"
## [11472] "@Arron_banks"
## [11473] "@andywigmore"
## [11474] "@MatthewdAncona"
## [11475] "https://t.co/DAcKIBfEOQ"
[11476] "#YoureGoingDownBigly"
[11477] "@MrsSheaWong"
[11478] "https://t.co/XZ9XFCp5PK"
[11479] "#ChasingTheL"
[11480] "reserves"
[11481] "weather"
[11482] "@bourgeoisalien"
[11483] "Things"
[11484] "Grabbing"
[11485] "pussies"
[11486] "Saying"
[11487] "YES"
[11488] "Taking"
[11489] "Teresa"
[11490] "twat"
[11491] "@John_Kehoe"
[11492] "@Danoogie"
[11493] "#cats"
[11494] "#rockthevote"
[11495] "https://t.co/ot3sj6pSoZ"
[11496] "@TheHelenHudson"
[11497] "#DontBuyTheSun"
[11498] "https://t.co/bSbBKPoUrh"
[11499] "@LabourElect"
[11500] "#disabledgenocide"
[11501] "#nastyparty"
[11502] "#disabiledrights"
[11503] "#WCA"
[11504] "#torycuts"
[11505] "https://t.co/vcETv0uzwP"
[11506] "@jonyourside"
[11507] "@TEN_GOP"
[11508] "piss"
[11509] "https://t.co/JbtkSwN6UM"
[11510] "raised"
[11511] "HMRC"
[11512] "Abbott-cost"
[11513] "6.4"
[11514] "BILLION"
[11515] "https://t.co/Bk1gDGDH"
[11516] "#ForTheFew"
[11517] "https://t.co/L6Mv9h5B4Z"
[11518] "Whitehall"
[11519] "preparing"
[11520] "https://t.co/kfJ7LfY5pa"
[11521] "@SidLabour"
## [11522] "https://t.co/9MvLNtNiME"
## [11523] "@FLOTUK"
## [11524] "Article"
## [11525] "BuzzFeed"
## [11526] "https://t.co/hv1jhAT24b"
## [11527] " "
## [11528] "#Cardiff"
## [11529] "@annamcmorrin"
## [11530] "https://t.co/dAQgKOJjM9"
## [11531] "https://t.co/ng2Xz4m6jn"
## [11532] "8.30am"
## [11533] "https://t.co/dlyMoHpJg4"
## [11534] "STILL"
## [11535] "misreporting"
## [11536] "Kuennsberg's"
## [11537] "known-false"
## [11538] "#shoottokill"
## [11539] "https://t.co/Qrm2aiVTKn"
## [11540] " "
## [11541] " "
## [11542] " "
## [11543] " "
## [11544] " "
## [11545] " "
## [11546] " "
## [11547] " "
## [11548] " "
## [11549] " "
## [11550] " "
## [11551] "220"
## [11552] "350"
## [11553] "https://t.co/Nf1g9t8E4b"
## [11554] "@Rob_A_McConnell"
## [11555] "boondoggle"
## [11556] "allowing"
## [11557] "dollars"
## [11558] "spent"
## [11559] "https://t.co/5usBVkxtRC"
## [11560] "Simpsons"
## [11561] "notes"
## [11562] " "
## [11563] " "
## [11564] "https://t.co/xmrmsWdyks"
## [11565] "@ConsultantBobby"
## [11566] "@steffandancy"
## [11567] "normal"
[11568] "https://t.co/pkc81qCpDR"

[11569] "@tigertux"

[11570] "viral"

[11571] "Karen"

[11572] "Handel"

[11573] "#Ossoff"

[11574] "#wednesdaywisdom"

[11575] "#resistance"

[11576] "#morningjoe"

[11577] "https://t.co/JHudHdnB0A"

[11578] "#BREXIT"

[11579] "#ITV"

[11580] "#TORY"

[11581] "https://t.co/xHF6vXvugp"

[11582] "https://t.co/IIIwJYVCUk"

[11583] "thousand"

[11584] "Unreal"

[11585] "#london"

[11586] "#comeththehour"

[11587] "https://t.co/IFIo7cycWL"

[11588] "https://t.co/IujiRDvmkH"

[11589] "@yanisvaroufakis"

[11590] "#DiEM25"

[11591] "https://t.co/7gCwljLHe0"

[11592] "@TracyBrabin"

[11593] "@Billright50"

[11594] "https://t.co/lV8V1zRke3"

[11595] "lifts"

[11596] "https://t.co/q4UqZcPqvZ"

[11597] "@rustyroockets"

[11598] "https://t.co/cuMbSxw9kC"

[11599] "@alex_m_orr"

[11600] "prior"

[11601] "https://t.co/7cVM3jZ5g2"

[11602] "@SocialistChris"

[11603] "https://t.co/xb3DHxAdrR"

[11604] "https://t.co/X41CINL719"

[11605] "@Pelsxo"

[11606] "assholes"

[11607] "once"

[11608] "treasure"

[11609] "https://t.co/2qhu0lR3mg"

[11610] "https://t.co/ZI6bK4bJX9"

[11611] "@AidanDicko1989"

[11612] "@Ross_Greer"

[11613] "delighted"
[11614] "https://t.co/ftEcUXkg1h"
[11615] "https://t.co/SHqBDGoovx"
[11616] "@harrysmallwood1"
[11617] "Dirty"
[11618] "Fail"
[11619] "seriously"
[11620] "foul"
[11621] "Fake"
[11622] "https://t.co/92FLW4JI6I"
[11623] "#AltRight"
[11624] "https://t.co/Q0b27V2Tki"
[11625] ""
[11626] "#TeenChoice"
[11627] ""
[11628] "#FM17"
[11629] ""
[11630] "#dktrp"
[11631] ""
[11632] "#OECD"
[11633] ""
[11634] "CEST"
[11635] "#trndnl"
[11636] "https://t.co/SLElpzOR2Z"
[11637] "Domani"
[11638] "verso"
[11639] "quest'ora"
[11640] "vedremo"
[11641] "anche"
[11642] "stavolta"
[11643] "sondaggisti"
[11644] "inglesi"
[11645] "hanno"
[11646] "toppato"
[11647] "clamorosamente"
[11648] "https://t.co/8ISXxSKhfn"
[11649] "nonce"
[11650] "flowers"
[11651] "dandelions"
[11652] ""
[11653] "https://t.co/tjKweXhkDm"
[11654] "@GeoffRose3"
[11655] "@ianwhite85"
[11656] "@catherine_mayer"
[11657] "@noreenahertz"
[11658] "@zoesqwilliams"
[11659] "@Harini_Iyengar"
[11660] "@VoteCeline"
[11661] "@SallyCarrMBE"
[11662] "@lovell10711"
[11663] "@KirsteinRummery"
[11664] "equality"
[11665] "https://t.co/AphNj0zTo2"
[11666] "@Triple_Dub_AW30"
[11667] "https://t.co/VxblyUCPdZ"
[11668] "https://t.co/1pAu77ghuo"
[11669] "@wordsonlife"
[11670] "Mrs"
[11671] "https://t.co/mSsY70oXfI"
[11672] "@iamZainAli12"
[11673] "https://t.co/VSXZVG3YHT"
[11674] "#PleaseVote"
[11675] "https://t.co/6mJS7YSvT6"
[11676] "TIMES"
[11677] "https://t.co/lbcnmdoc09"
[11678] "https://t.co/VOGkFB5laD"
[11679] "Message"
[11680] "https://t.co/aV5J1I3sbQ"
[11681] "@estontamondo"
[11682] "https://t.co/derl3dYyhj"
[11683] "@kierantpoole"
[11684] "https://t.co/drGKpWhG01"
[11685] "@WhatTomdoes"
[11686] ""
[11687] "#BanTheSun"
[11688] "#Battl"
[11689] "pals"
[11690] "waking"
[11691] ""
[11692] "https://t.co/QtCy3FM8T0"
[11693] "heavily"
[11694] "https://t.co/6uuyaSD54U"
[11695] "@AlmeidaTheatre"
[11696] "can't"
[11697] "softer"
[11698] "@CleanBrk"
[11699] "discuss"
[11700] "female"
[11701] "#FiguresofSpeech"
[11702] "Corbyns"
[11703] "stuffed"
[11704] "willing"
[11705] "implement"
## [11706] "Needed"
## [11707] "GIF"
## [11708] "https://t.co/omTA7wYNaK"
## [11709] "Albertan's"
## [11710] "alike"
## [11711] "hamlet"
## [11712] "Lethbridge"
## [11713] "https://t.co/WyQinGDkuO"
## [11714] "@afuahirsch"
## [11715] "withdrawing"
## [11716] "shadow"
## [11717] "Treatment"
## [11718] "@HumzaYousaf"
## [11719] "arses"
## [11720] "wor"
## [11721] "@charliesalter97"
## [11722] "impartial"
## [11723] "outlet"
## [11724] "TOMORROW"
## [11725] "#MoneyTree"
## [11726] "Odds"
## [11727] "Leader"
## [11728] "Opposition"
## [11729] "Laura"
## [11730] "Kuenssberg"
## [11731] "https://t.co/DmURIuSqKR"
## [11732] "@Greg4Broxtowe"
## [11733] "https://t.co/QaoktUZrgT"
## [11734] "eyes-and"
## [11735] "lifting"
## [11736] "yourself-don't"
## [11737] "@Exiledinwatford"
## [11738] "75"
## [11739] "unfit"
## [11740] "happened"
## [11741] "https://t.co/qUTIEUo0jT"
## [11742] "@thenib"
## [11743] "Environmentalism"
## [11744] "coded"
## [11745] "effeminate"
## [11746] "https://t.co/AcIRqa4B1P"
## [11747] "@ochaye6dot5"
## [11748] "https://t.co/whspudAaTG"
## [11749] "@GuyOpperman"
## [11750] "Spent"
## [11751] "#NorthEast"
[11752] "#Prudhoe"
[11753] "https://t.co/yeqNw8axiL"
[11754] "@ultrxlana"
[11755] "conserva"
[11756] "Trickle"
[11757] "economics"
[11758] "rage"
[11759] "Governments"
[11760] "https://t.co/IU1D21Jjy3"
[11761] "apathy"
[11762] "suppress"
[11763] "@larryelder"
[11764] "@billmaher"
[11765] "knew"
[11766] "CCTV"
[11767] "attackers"
[11768] "https://t.co/OfRvoWDBUc"
[11769] ""
[11770] "architects"
[11771] "#ScotDebates"
[11772] "@trrs_lowen"
[11773] "@IncompetentMay"
[11774] "https://t.co/Pmb9oLbeiC"
[11775] "Awful"
[11776] "meantime"
[11777] "Tenerife"
[11778] "Arsenal"
[11779] "FA"
[11780] "Cup"
[11781] "https://t.co/oxTBTD8xeD"
[11782] "@RandomnesInnate"
[11783] "Luck"
[11784] "https://t.co/aswAeoWiKG"
[11785] "reply"
[11786] "https://t.co/YLH9daZAWQ"
[11787] "https://t.co/Qdp2LpgGqn"
[11788] "@LouiseEllman"
[11789] "@GillFurnissMP"
[11790] "Brexpress"
[11791] "reader"
[11792] "midst"
[11793] "@lord_tinydong"
[11794] "Hulk"
[11795] "CHUFFING"
[11796] "#HULK"
[11797] "Homelessness"
## [11798] "roof"
## [11799] "https://t.co/q2fTzMq20c"
## [11800] "Better"
## [11801] "utter"
## [11802] "@l_ronaldson"
## [11803] "havin"
## [11804] "wks"
## [11805] "https://t.co/zjtRq5anRK"
## [11806] "https://t.co/UVJaUfSN1o"
## [11807] "Quite"
## [11808] "lipstic"
## [11809] "https://t.co/ooF8VkZwbY"
## [11810] "ISLAMISTS"
## [11811] "sits"
## [11812] "https://t.co/dfczx6y6an"
## [11813] "https://t.co/sAyPLc16tt"
## [11814] "Noah"
## [11815] "ark"
## [11816] "@brightsider123"
## [11817] "Llloyd"
## [11818] "Mums"
## [11819] "Yor"
## [11820] "https://t.co/KymAG790aj"
## [11821] "https://t.co/nVrcc1IWYH"
## [11822] "@GlobalJusticeUK"
## [11823] "charities"
## [11824] "ruthlessly"
## [11825] "Lobbying"
## [11826] "https://t.co/KqxgH07LMr"
## [11827] "@biffbaffboffboo"
## [11828] "@LeighMGPM"
## [11829] "@paulharrisjp"
## [11830] "@LambrosSavvides"
## [11831] "@oldunderground"
## [11832] "@labourpress"
## [11833] "til"
## [11834] "finalising"
## [11835] "July"
## [11836] "https://t.co/WBRPn4SnAV"
## [11837] "https://t.co/sflgWErijQ"
## [11838] "@phlaaps"
## [11839] "@lazamaria1966"
## [11840] "@alansm"
## [11841] "Danish"
## [11842] "https://t.co/yXG42uX4td"
## [11843] "@BellaMagnani"
[11844] "@MaraLeverkuhn"
[11845] "@SciscoMedia"
[11846] "15th"
[11847] "https://t.co/bbb9VF0fpt"
[11848] "#Assange"
[11849] "#WikiLeaks"
[11850] "#Truth"
[11851] "#MSMFail"
[11852] "https://t.co/Qgevw61SV5"
[11853] "@DanielGwydion"
[11854] "Neges"
[11855] "etholwyr"
[11856] "Castell-nedd"
[11857] "a'r"
[11858] "cymoedd"
[11859] "#Plaid17"
[11860] "https://t.co/KvjYUPLR04"
[11861] "@maidenheadLD"
[11862] "@bestforbritain"
[11863] "homework"
[11864] "Hill"
[11865] "https://t.co/6cCJ2kpv9j"
[11866] "https://t.co/gd4UgRjHgM"
[11867] "@asad_abdullah17"
[11868] "mum"
[11869] "should've"
[11870] "swallowed"
[11871] "https://t.co/ME4MmXZUPL"
[11872] "@greggutfeld"
[11873] "Juan"
[11874] "Beckel's"
[11875] "Brietbart"
[11876] "@jessebwatters"
[11877] "@LadyNugeeMP"
[11878] "Up"
[11879] "polish"
[11880] "acceptance"
[11881] "#selfdoubtisnotaqualityofmine"
[11882] "SURE"
[11883] "returns"
[11884] "@VickySander25"
[11885] "https://t.co/ExwhEWUpe0"
[11886] "https://t.co/gJQNNQfLoi"
[11887] "@bendean1979"
[11888] "Bottom"
[11889] "Arrrggggghhhhh"
## [11890] "Theyve"
## [11891] "vice"
## [11892] "conserve"
## [11893] "ways"
## [11894] "https://t.co/TRvIWMu8wc"
## [11895] "FR3"
## [11896] "avec"
## [11897] "Gina"
## [11898] "Miller"
## [11899] "et"
## [11900] "Vigil"
## [11901] "@thatginamiller"
## [11902] "@No10Vigil"
## [11903] "@France3tv"
## [11904] "https://t.co/6YKt6hic02"
## [11905] "@djcarteruk"
## [11906] "Mae"
## [11907] "yn"
## [11908] "creu"
## [11909] "popeth"
## [11910] "ar"
## [11911] "gyfer"
## [11912] "etholiad"
## [11913] "ddwyieithog"
## [11914] "hen"
## [11915] "bryd"
## [11916] "gwneud"
## [11917] "peth"
## [11918] "@jjarichardson"
## [11919] "polled"
## [11920] "31"
## [11921] "upgrade"
## [11922] "computers"
## [11923] "https://t.co/ffVxHMvNF7"
## [11924] "https://t.co/D7plqxGNI5"
## [11925] "pupils"
## [11926] "appropriate"
## [11927] "apprenticeships"
## [11928] "how's"
## [11929] "Sense"
## [11930] "https://t.co/IMt6XWkBec"
## [11931] "@deezeruk"
## [11932] "Episode"
## [11933] "Stable"
## [11934] "laughs"
## [11935] "@jonathanpienews"
[11936] "guests"

[11937] "https://t.co/bQOz2XY49u"

[11938] "https://t.co/6rehfpdyQ8"

[11939] "WIG"

[11940] "ideal"

[11941] "saver"

[11942] "https://t.co/lhwxCikTLO"

[11943] "frantically"

[11944] "reign"

[11945] "scary"

[11946] ""

[11947] "https://t.co/AGRuSRa0eS"

[11948] "@HuffPostUKPol"

[11949] "asylum"

[11950] "@WordsAreDeeds"

[11951] "blogs"

[11952] "https://t.co/LKLKCXFa80"

[11953] "https://t.co/rE216Uz8a4"

[11954] "@MikkiL"

[11955] "@ctxt_es"

[11956] "arrasa"

[11957] "entre"

[11958] "jóvenes"

[11959] "71"

[11960] "#ForTheYoungsNotTheOldies"

[11961] "https://t.co/kkxw7WC2oJ"

[11962] "entertaining"

[11963] "#libdems"

[11964] "Zac"

[11965] "Goldsmith"

[11966] "2016"

[11967] "#richmondpark"

[11968] ""

[11969] "https://t.co/bbRx3DhbeJ"

[11970] "Yemen"

[11971] "killing"

[11972] "maiming"

[11973] "civilians"

[11974] "https://t.co/n9wfJ00oL7"

[11975] "https://t.co/PzytFtfqVw"

[11976] "Canada's"

[11977] "blow"

[11978] "Anything"

[11979] "mouths"

[11980] "disregarded"

[11981] "https://t.co/HzteMBN6RC"
## [11982] "@davidthediver"
## [11983] "https://t.co/SRZEoi8quk"
## [11984] "Skwawkbox"
## [11985] "https://t.co/8pULCczbtw"
## [11986] "https://t.co/BeJkesIt5C"
## [11987] "https://t.co/Xu5Kj50kng"
## [11988] "https://t.co/navTGdYsoP"
## [11989] "https://t.co/jQwxqZbujU"
## [11990] "@Krustylicious"
## [11991] "friday"
## [11992] "citzen"
## [11993] "https://t.co/84uGyt4oTM"
## [11994] "https://t.co/CQick4rWxz"
## [11995] "@shelley60"
## [11996] "@angelaeagle"
## [11997] "@felter__skelter"
## [11998] "ladies"
## [11999] "#thismatters"
## [12000] "https://t.co/1xPbRjDHOH"
## [12001] "https://t.co/G8inPSIie0"
## [12002] "topple"
## [12003] "Smartest"
## [12004] "@DanversKate"
## [12005] "https://t.co/zBxFwShZ46"
## [12006] "https://t.co/FvRfv83H7Z"
## [12007] "anti-Blair"
## [12008] "HAHAHAHA"
## [12009] "diane"
## [12010] "abbotts"
## [12011] "https://t.co/OHYP7GKTTX"
## [12012] "@bastilledan"
## [12013] "https://t.co/W7G2IOHcXn"
## [12014] "outrage"
## [12015] "mill"
## [12016] "we're"
## [12017] "alternate"
## [12018] "universe"
## [12019] "https://t.co/noo6N0fEJB"
## [12020] "@atmphillips"
## [12021] "Gov't"
## [12022] ""
## [12023] "#NoBrexit"
## [12024] "https://t.co/sllSp9Rglz"
## [12025] "@TweeterReynolds"
## [12026] "advise"
## [12027] "https://t.co/ipGw9owlzU"
[12028] "https://t.co/MeFROXebLx"

[12029] "@Graham_McD"

[12030] "google"

[12031] "trends"

[12032] "searches"

[12033] "related"

[12034] "@hackandcraft"

[12035] "#government"

[12036] "#tech"

[12037] "#economy"

[12038] "https://t.co/b4WbTKM2kM"

[12039] "#digital"

[12040] "#innovation"

[12041] "https://t.co/maFK65zHJ3"

[12042] "@audioexpression"

[12043] "error"

[12044] "39.6"

[12045] "36.6"

[12046] "https://t.co/AXJqqo1exE"

[12047] "https://t.co/IJIKw7OSDv"

[12048] "@whatsthemata92"

[12049] "@DavidBradshaw23"

[12050] "@reddevils1982"

[12051] "suit"

[12052] "jonno"

[12053] "wear"

[12054] ""

[12055] "@lynxxiv"

[12056] "superpower"

[12057] "insan"

[12058] "https://t.co/JhnW3WnU4Q"

[12059] "Using"

[12060] "Metadata"

[12061] "Revere"

[12062] "https://t.co/7cqJ7dY2PA"

[12063] "EXCELLENT"

[12064] "explanation"

[12065] "#NSA"

[12066] "#PRISM"

[12067] "#IRS"

[12068] "#EPA"

[12069] "#metadata"

[12070] "https://t.co/zR2fxfBsAm"

[12071] "https://t.co/n00adf5fqn"

[12072] "https://t.co/60vWPAXXso"

[12073] "FED"
[12074] "warmongers"
[12075] "https://t.co/Fd2gU0i90M"
[12076] "66"
[12077] "Tonight"
[12078] "8.30pm"
[12079] "#BBCDebate"
[12080] "https://t.co/e"
[12081] "https://t.co/x"
[12082] "@benshapiro"
[12083] "@JudgeJeanine"
[12084] "@rushlimbaugh"
[12085] "@marklevinshow"
[12086] "ignoring"
[12087] "skimming"
[12088] "kid's"
[12089] "charitable"
[12090] "https://t.co/5RPj4188Ma"
[12091] "https://t.co/MgLFOeCIu"
[12092] "@GerryHassan"
[12093] "DONT"
[12094] "HAVENT"
[12095] "BEEN"
[12096] "WARNED"
[12097] "Eric"
[12098] "Pickles"
[12099] "#n"
[12100] "@Avaaz"
[12101] "recommendation"
[12102] "hearing"
[12103] "@LordAshcroft"
[12104] "8.0"
[12105] "GRNS"
[12106] "2.0"
[12107] "8.4"
[12108] "tomorr"
[12109] "pointing"
[12110] "knee"
[12111] "kiss"
[12112] "fealty"
[12113] "https://t.co/XSqZ6aatIM"
[12114] "popularity"
[12115] "scripted"
[12116] "@AndrewSisley"
[12117] "buried"
[12118] "conflict"
[12119] "dealing"
[12120] "outs"

[12121] "content"

[12122] "pie"

[12123] "mash"

[12124] " "

[12125] "https://t.co/vinShUGy4o"

[12126] "Brexiter"

[12127] "declining"

[12128] "productivity"

[12129] "archaic"

[12130] "https://t.co/RcBJJfJare"

[12131] "@2interativa"

[12132] "#UKElection"

[12133] "https://t.co/GWOaBvWxC6"

[12134] "denounce"

[12135] "ideology"

[12136] "mosques"

[12137] "infidel"

[12138] "neo-conservatism"

[12139] "https://t.co/izyY50WmnA"

[12140] "barrage"

[12141] "farrage"

[12142] "buckets"

[12143] "@Guinz"

[12144] "@EricTrump"

[12145] "democrats"

[12146] "Ironical"

[12147] "@ektopping"

[12148] "@carmel_prescott"

[12149] "interested"

[12150] "https://t.co/jD1RT9jrdp"

[12151] "@imy"

[12152] "https://t.co/Hp8gOMidYE"

[12153] "Say"

[12154] "https://t.co/vJOs7G3kYC"

[12155] "@ChrisMcCusker67"

[12156] "https://t.co/RQ0bp167kW"

[12157] "otherside"

[12158] "Seen"

[12159] "https://t.co/5kzC1I6Q1L"

[12160] "@Danwvy"

[12161] "https://t.co/fgqdGH2RXz"

[12162] "@planetxbikes"

[12163] "Caption"

[12164] "Sleep"

[12165] "caption"
## [12166] "competition"
## [12167] "#Wintheframe"
## [12168] "https://t.co/cE2MHecjir"
## [12169] "https://t.co/SbMQydDv7E"
## [12170] "@M_Star_Online"
## [12171] "consign"
## [12172] "hunts"
## [12173] "dustbin"
## [12174] "@ChriswMP"
## [12175] "https://t.co/QsBZxxx3lr"
## [12176] "https://t.co/JUdv61VmKn"
## [12177] "@CllrFitzpatrick"
## [12178] "@navin4harrow"
## [12179] "colleagues"
## [12180] "https://t.co/VDqYChbvtx"
## [12181] "@Mvrufm"
## [12182] "@ToryAstroGeek"
## [12183] "divisive"
## [12184] "https://t.co/eM1E4h9KWy"
## [12185] "@The_Keks_Army"
## [12186] "https://t.co/Sh50AGp8MO"
## [12187] "aged"
## [12188] "5-19"
## [12189] "prioritise"
## [12190] "@iNabberTV"
## [12191] "60"
## [12192] "@AyrshireSpeaker"
## [12193] "collect"
## [12194] "P45"
## [12195] "earlier"
## [12196] "coast"
## [12197] "Falmouth"
## [12198] "https://t.co/rUNUHhdzFI"
## [12199] "Attlee"
## [12200] "UKs"
## [12201] "Guardian"
## [12202] "#UKelection"
## [12203] "https://t.co/xtZb4W2KNH"
## [12204] "https://t.co/ZI54TDhWbW"
## [12205] "https://t.co/YetVrZ8KAE"
## [12206] "@SylvaSoul"
## [12207] "AGAINST"
## [12208] "#EnoughIs"
## [12209] "@Wim_Heitinga_NL"
## [12210] "@SethAbramson"
## [12211] "disinfo"
[12212] "fakenews"
[12213] "targeted"
[12214] "Conservatives.The"
[12215] "Mensch"
[12216] "cult"
[12217] "undermining"
[12218] "resistance"
[12219] "@LegateMemeinius"
[12220] "https://t.co/S0zk6vLK2q"
[12221] "invasion"
[12222] "Afghanistan"
[12223] "destabilised"
[12224] "Middle"
[12225] "https://t.co/FG0Th90yEQ"
[12226] "@Rexforbes7"
[12227] "@LUCY___BROWN"
[12228] "aff"
[12229] "posh"
[12230] "@Memz_D"
[12231] "#streatham"
[12232] "@sw16alex"
[12233] "Genuine"
[12234] "Streatham"
[12235] "@tomvvardle"
[12236] "richest"
[12237] "@CliveBees"
[12238] "Majesty"
[12239] "#VoteNoneOfTheAbove"
[12240] "https://t.co/6yJ6taZhWp"
[12241] "@twisteddoodles"
[12242] "https://t.co/hSY78HNcVw"
[12243] "Know"
[12244] "everyone's"
[12245] "crystal"
[12246] "https://t.co/fohfpUBptt"
[12247] "Mór"
[12248] "mo"
[12249] "Chara"
[12250] "@MickeyBradySF"
[12251] "agus"
[12252] "comrades"
[12253] "inniu"
[12254] "https://t.co/7MtlG1qjAB"
[12255] "https://t.co/HoH9z"
[12256] "#attack"
[12257] "#EnoughIsEnough"
## [12258] "#DigitalRights"
## [12259] "Save"
## [12260] "Straight"
## [12261] "lads"
## [12262] "https://t.co/Xkim34uIa3"
## [12263] "@indigoleader"
## [12264] "wedding"
## [12265] "anniversary"
## [12266] "https://t.co/ZNOY09iMNC"
## [12267] "REMEMBER"
## [12268] "https://t.co/D9gQFL9961"
## [12269] "@ForwardAssist1"
## [12270] "https://t.co/WQiiqKQPQj"
## [12271] "@sue_mcguire"
## [12272] "rooting"
## [12273] "@libdems"
## [12274] "sensible"
## [12275] "#Southport"
## [12276] "https://t.co/7RUYXcoonA"
## [12277] "@GeeBee_"
## [12278] "#teresama"
## [12279] "#poll"
## [12280] "@PoliticsPollsGE"
## [12281] "RT'ing"
## [12282] "@MekQuarrie"
## [12283] "fundamentally"
## [12284] "https://t.co/izJkoFYj4q"
## [12285] "@mattjones21a"
## [12286] "aha"
## [12287] "waned"
## [12288] "ruler"
## [12289] "#election2017"
## [12290] "Nicolcopter"
## [12291] "wasting"
## [12292] "starving"
## [12293] "https://t.co/IOEGJh58w4"
## [12294] "@Dr_PhilippaW"
## [12295] "rationing"
## [12296] "NHSEng"
## [12297] "Pub"
## [12298] "https://t.co/rXlpJnSeIO"
## [12299] "@OwenPaterson"
## [12300] "@Dunne4Ludlow"
## [12301] "#Shropshire"
## [12302] "https://t.co/cOsjLLVfyf"
## [12303] "@JustVeracious"
[12304] "2morrow"

[12305] "#darkmoney"

[12306] "#transparency"

[12307] "#accountability"

[12308] "https://t.co/69kspYRFNH"

[12309] "@Scott_wright_76"

[12310] "gullible"

[12311] "@katyusha13"

[12312] "active"

[12313] "paramilitaries"

[12314] "particular"

[12315] "sinister"

[12316] "undertones"

[12317] "https://t.co/kX79FagnNJ"

[12318] "Armed"

[12319] "Forces"

[12320] "Covenant"

[12321] "#AnimalRights"

[12322] "https://t.co/44kkvItppB"

[12323] "Firefighter"

[12324] "#VoteLabour#"

[12325] "Explosive"

[12326] "tries"

[12327] "censor"

[12328] "opponent"

[12329] "hide"

[12330] "allegations"

[12331] "https://t.co/3NQYAfcBgz"

[12332] "@skwa"

[12333] "@Fullerarty"

[12334] "Pencils"

[12335] "sealed"

[12336] "Count"

[12337] "SUPERVISED"

[12338] "CONSPIRACY"

[12339] "https://t.co/J1SC72h56x"

[12340] "https://t.co/3M7r9"

[12341] "@DavidParkland"

[12342] "Speaking"

[12343] "Bosnia"

[12344] "Kosovo"

[12345] "#FollowTheSapper"

[12346] "https://t.co/Wopfqvt4bY"

[12347] "twitter.com"

[12348] "FsDKc5qiP4"

[12349] "listening"
## [12350] "luvvie"
## [12351] "darling"
## [12352] "celebrity"
## [12353] "endorsements"
## [12354] "Izzard's"
## [12355] "https://t.co/8kCPNLTPnm"
## [12356] "@EggySoldier"
## [12357] "ba"
## [12358] "#ConeyTestimony"
## [12359] "oomf"
## [12360] "I'M"
## [12361] "@TorySwindon"
## [12362] "preparations"
## [12363] "#Swindon"
## [12364] "@JustinTomlinson"
## [12365] "@RobertBuckland"
## [12366] "https://t.co/1wTPXclmC7"
## [12367] "@e_brailsford"
## [12368] "gorgeous"
## [12369] "Mum"
## [12370] "they've"
## [12371] "https://t.co/joYiYhvJzs"
## [12372] "zones"
## [12373] "west"
## [12374] "@SeemaMalhotra1"
## [12375] "@FandHLabour"
## [12376] "https://t.co/4rMFzH47vy"
## [12377] "@jordan needles"
## [12378] "son's"
## [12379] "Additionally"
## [12380] "harder"
## [12381] "load"
## [12382] "60hrs"
## [12383] "rubbish"
## [12384] "cost-cutting"
## [12385] "knell"
## [12386] "https://t.co/TC1MSbaU5c"
## [12387] "https://t.co/rCWDmLt4ri"
## [12388] "Matter"
## [12389] "BOX"
## [12390] "https://t.co/HwgIASZoiY"
## [12391] "returned"
## [12392] "https://t.co/kLM"
## [12393] "https://t.co/jFNw9NzGxT"
## [12394] "@baiabags"
## [12395] "Democracy"
[12396] "#votebabyvote"

[12397] "#votingispeoplepower"

[12398] "https://t.co/eHd0gVOh1D"

[12399] "@colvieux"

[12400] "#Grillo"

[12401] "#Palermo"

[12402] "ci"

[12403] "fossimo"

[12404] "noi"

[12405] "sarebbero"

[12406] "fascisti"

[12407] "populisti"

[12408] "all'estero"

[12409] "Vi"

[12410] "ricordò"

[12411] "che"

[12412] "#Eu"

[12413] "è"

[12414] "allea"

[12415] "@mrjamiereeves"

[12416] "https://t.co/obG8s3AX50"

[12417] "https://t.co/8muwGbYmrs"

[12418] "@BenefitBriefing"

[12419] "Manifestos"

[12420] "Update"

[12421] "Full"

[12422] "Roll-out"

[12423] "July-Sept"

[12424] "Benefit"

[12425] "Briefing"

[12426] "https://t.co/BQlBfWZcP7"

[12427] "https://t.co/VZpII5jbl4"

[12428] "https://t.co/B10kBklf8A"

[12429] "Humans"

[12430] "https://t.co/SnBE2mThBM"

[12431] "praying"

[12432] "Dreaming"

[12433] "Supporting"

[12434] "https://t.co/xgDg03LJwa"

[12435] "@YourVote_UK"

[12436] "tmrw"

[12437] "entering"

[12438] "https://t.co/09VN2Xcazj"

[12439] "https://t.co/QfSfTVkZ0v"

[12440] "Excuses"

[12441] "upper"
[12442] "wannabe"
[12443] "alcohol"
[12444] "https://t.co/dNxtKyjpFT"
[12445] "@Thekillerhertz"
[12446] "https://t.co/yUI15pt4xT"
[12447] "#wrightstuff"
[12448] "#nhs"
[12449] "#bbcne"
[12450] "https://t.co/Q7bthTZZfU"
[12451] "agoAMP"
[12452] "@HashtagGriswold"
[12453] "hurt"
[12454] "farage"
[12455] "bloody"
[12456] "bother"
[12457] "@tony_nog"
[12458] "https://t.co/QSsSWct6TU"
[12459] "@SteveD4848"
[12460] "https://t.co/gwSToqeR"
[12461] "recommendations"
[12462] "pub"
[12463] "https://t.co/4QN0a5Z5dV"
[12464] "@Xveriia"
[12465] "@ianw1975"
[12466] "@joecottrell10"
[12467] "@poguemahone90"
[12468] "@HNLLoyd1"
[12469] "Factor"
[12470] "Brother"
[12471] "BGT"
[12472] "insta"
[12473] "https://t.co/IhIsQJiloF"
[12474] "https://t.co/EyVmY88NeP"
[12475] "@snurb Dot_info"
[12476] "statement"
[12477] "qualified"
[12478] "Kauffman"
[12479] "dropped"
[12480] "twitter"
[12481] "pro-Muslim"
[12482] "Galloway"
[12483] "Gorton"
[12484] "@LadyPortwrinkle"
[12485] "wider"
[12486] "answering"
[12487] "https://t.co/m35MHliGIR"
[12488] "@andrewspooner"

[12489] "Shocking"

[12490] "11billion"

[12491] "mainly"

[12492] "reduction"

[12493] "@jwright136"

[12494] "https://t.co/K7e1Md8Qab"

[12495] "https://t.co/poeDDKAvuG"

[12496] "@BigAlHelm"

[12497] "@IvanLewis MP"

[12498] "Porsches"

[12499] "calculate"

[12500] "qriously"

[12501] "Defo"

[12502] "https://t.co/wwZU2OX9NP"

[12503] "@nick_clegg"

[12504] "@Open_Britain"

[12505] "smash"

[12506] "@Lin_Manuel"

[12507] "#NotThrowingAwayMyShot"

[12508] "@beatraxa"

[12509] "Brexitnis"

[12510] "whoever"

[12511] "triggered"

[12512] "Boycotting"

[12513] "#justsayin"

[12514] "@abilovesyoumost"

[12515] "switch"

[12516] "unvetted"

[12517] "Profligate"

[12518] "Destruction"

[12519] "@marxroadrunner"

[12520] "@markhughes"

[12521] "wealthy"

[12522] "https://t.co/ItcFG9Eu7e"

[12523] "ATOS"

[12524] "xenophobia"

[12525] "civil"

[12526] "liberties"

[12527] "trampled"

[12528] "gross"

[12529] "ineptitude"

[12530] "https://t.co/BmMRwzSLeY"

[12531] "https://t.co/xMZtGetmJy"

[12532] "https://t.co/RzhskjGC7N"

[12533] "PPC's"
[12534] "@Johnnyshuffle"
[12535] "https://t.co/TRC6RTj0u1"
[12536] "@resurgentsheep"
[12537] "quintessentially"
[12538] "someone's"
[12539] "kitchen"
[12540] "#Driffield"
[12541] "#Pri"
[12542] "https://t.co/53iEnFH27W"
[12543] "#ToryWin"
[12544] "Goodbye"
[12545] "https://t.co/ZDeFTjb6jp"
[12546] "matching"
[12547] "#VoteSmart"
[12548] "https://t.co/Hjq7wXqaHU"
[12549] "https://t.co/vtTaba6UJu"
[12550] "#StrongAndStableMyArse"
[12551] "https://t.co/ZzQU5KNjOP"
[12552] "https://t.co/P4D01pawEs"
[12553] "Useful"
[12554] "margins"
[12555] "https://t.co/GycJjmoF5e"
[12556] "@communicipalist"
[12557] "GE215"
[12558] "addled"
[12559] "establishment"
[12560] "@KirstyAJD"
[12561] "CANADIANS"
[12562] "https://t.co/KsFzyUPFUs"
[12563] "@Pepipopa"
[12564] "De"
[12565] "Franco"
[12566] "Pewdiepie"
[12567] "Forbes"
[12568] "Glad"
[12569] "Journalism"
[12570] "https://t.co/BiZD5q26W3"
[12571] "unseat"
[12572] "@PoliticalWhammy"
[12573] "released"
[12574] "prison"
[12575] "@tetley824"
[12576] "multiple"
[12577] "IDs"
[12578] "p.ports"
[12579] "https://t.co/86qMf1HFsS"
## [12580] "#VOTELABOUR"
## [12581] "https://t.co/tTspYx7gw1"
## [12582] "@TheSalmanShah"
## [12583] "Probe"
## [12584] "#MRC"
## [12585] "Found"
## [12586] "Danger"
## [12587] "#Democracy"
## [12588] "https://t.co/tJyz3MFAZO"
## [12589] "#GeneralElectio"
## [12590] "https://t.co/c2Sx05uKPG"
## [12591] "@Momentum_NHS"
## [12592] "https://t.co/mdwg1WSdTZ"
## [12593] "Senator"
## [12594] "@KamalaHarris"
## [12595] "#Hero"
## [12596] "Burr"
## [12597] "Rosenstein-who's"
## [12598] "reputation"
## [12599] "tanked-know"
## [12600] "MO"
## [12601] "Nevertheless"
## [12602] "#ShePersisted"
## [12603] "https://t.co/RUlkGVPTY2"
## [12604] "https://t.co/58Kz5UnpM9"
## [12605] "Liberalism"
## [12606] "disorder"
## [12607] "Britan"
## [12608] "#MBGA"
## [12609] "#DumpKhan"
## [12610] "#BuildTheWall"
## [12611] "https://t.co/IETrcD2wKr"
## [12612] "Dday"
## [12613] "Having"
## [12614] "decade"
## [12615] "hill"
## [12616] "farming"
## [12617] "Lack"
## [12618] "@Liam_The_Red"
## [12619] "Stretton"
## [12620] "Woman"
## [12621] "womans"
## [12622] "https://t.co/zOWWaFUcpb"
## [12623] "Naylor"
## [12624] "flog"
## [12625] "https://t.co/pUqXcNnA9N"
## [12626] "https://t.co/YgCSEiZrrM"
## [12627] "@corvidcult"
## [12628] "poetic"
## [12629] "https://t.co/7QsE8FMORi"
## [12630] "@RichardNorthey"
## [12631] "believes"
## [12632] "hang"
## [12633] "https://t.co/rXSCylXyAM"
## [12634] "#selection"
## [12635] "#grammars"
## [12636] "https://t.co/BNZX"
## [12637] "https://t.co/mPdozcXIOo"
## [12638] "@hic_et_ubique"
## [12639] "@ItzRath"
## [12640] "bankruptcies"
## [12641] "USA"
## [12642] "https://t.co/ztKwOf7VcR"
## [12643] "@greghill"
## [12644] "BIG"
## [12645] "KISSES"
## [12646] "MUCH"
## [12647] "LOVE"
## [12648] "@Diolchgar"
## [12649] "#democra"
## [12650] "https://t.co/WBe5VN4ln5"
## [12651] "https://t.co/sEooTokCBW"
## [12652] "#ramadaniniraq"
## [12653] "@Enough1389"
## [12654] "1980s"
## [12655] "campaigned"
## [12656] "EEC"
## [12657] "Ha"
## [12658] "Thats"
## [12659] "D"
## [12660] "#DaisySpeaksForMe"
## [12661] "#StAlbans"
## [12662] "https://t.co/assOyZuKyc"
## [12663] "https://t.co/wztx3ubONV"
## [12664] "https://t.co/AF37inT4qD"
## [12665] "@zo_outdoors"
## [12666] "brits"
## [12667] "https://t.co/DxqeokhGsz"
## [12668] "1988"
## [12669] "jobsworths"
## [12670] "infantile"
## [12671] "leftists"
[12672] "BS"
[12673] "efficiently"
[12674] "@LFCKOPVIEW"
[12675] "Dinners"
[12676] "Dalton"
[12677] "Barnsley"
[12678] "#BarnsleyEast"
[12679] "#Barnsley"
[12680] "#Yorkshire"
[12681] "@JDaltonUKIP"
[12682] "https://t.co/BTjdJa2mz3"
[12683] "Moral"
[12684] "flexibility"
[12685] "https://t.co/Cz998g58AH"
[12686] "https://t.co/NcId30Buvh"
[12687] "https://t.co/kzLAeZyEJD"
[12688] "reckon"
[12689] "good'un"
[12690] "reps"
[12691] "#Socialcare"
[12692] "#selffunders"
[12693] "x4"
[12694] "self-funded"
[12695] "tariff"
[12696] "https://t.co/eE98WzFqap"
[12697] "#CHC"
[12698] "nursing"
[12699] "@votewishart"
[12700] "K-9"
[12701] "Paws"
[12702] "Pete"
[12703] "#VoteWISHART"
[12704] "https://t.co/TqP3VWgV5e"
[12705] "@whatkatie_did"
[12706] "https://t.co/gEdJCXbCtb"
[12707] "Headteachers"
[12708] "agrees"
[12709] "Housing"
[12710] "Equality.I"
[12711] "#solidarity"
[12712] "https://t.co/jNEntPArYr"
[12713] "@Paul_D1963"
[12714] "Surprised"
[12715] "defaced"
[12716] "travels"
[12717] "anger"
## [12718] "Rail"
## [12719] "Station"
## [12720] "embargo"
## [12721] "bacon"
## [12722] "sandwich"
## [12723] "@shayiguess"
## [12724] "DIDN'T"
## [12725] "WHOLE"
## [12726] "GROUP"
## [12727] "ONCE"
## [12728] "29"
## [12729] "Canadians"
## [12730] "Carolina"
## [12731] "traveled"
## [12732] "@TomJLines"
## [12733] "neck-and-neck"
## [12734] "Smaller"
## [12735] "NB"
## [12736] "DMail"
## [12737] "uses"
## [12738] "frightens"
## [12739] "https://t.co/WcqKM17zwv"
## [12740] "@embeeshea"
## [12741] "EMcM"
## [12742] "STEP"
## [12743] "https://t.co/GZmSsm1RcV"
## [12744] "@NHS_CPO"
## [12745] "https://t.co/pwuXtzk3f4"
## [12746] "https://t.co/9nqeyANipu"
## [12747] "https://t.co/cR20VtcXxM"
## [12748] "meal"
## [12749] "Primary's"
## [12750] "Bring"
## [12751] "Back"
## [12752] "Educational"
## [12753] "Maintenance"
## [12754] "Allowance"
## [12755] "https://t.co/S8uOM1Kjej"
## [12756] "Till"
## [12757] "https://t.co/NGa8TFPIMV"
## [12758] "hype"
## [12759] "#Economy"
## [12760] "identify"
## [12761] "conflicts"
## [12762] "#ToryScumbags"
## [12763] "Uniform"
[12764] "https://t.co/k7SaFMmHYH"
[12765] "action"
[12766] "Listening"
[12767] "Half"
[12768] "Warning"
[12769] "https://t.co/F08ND0bRRE"
[12770] "beings"
[12771] "bin"
[12772] "expected"
[12773] "@pennygail127"
[12774] "THESE"
[12775] "MUSLIMS"
[12776] "WROTE"
[12777] "1991"
[12778] "PLAN"
[12779] "THEY"
[12780] "TAKING"
[12781] "OVER"
[12782] "AMERICA"
[12783] "EXECUTING"
[12784] "LIBTARDS"
[12785] "HELP"
[12786] "@SheriffClarke"
[12787] "https://t.co/YdGdb5SKXT"
[12788] "bottles"
[12789] "RTs"
[12790] "https://t.co/DSZ4pajG59"
[12791] "@MyNottingham"
[12792] "https://t.co/eyLFZK9kVK"
[12793] "https://t.co/EMaPL5Ryd4"
[12794] "@aitken_marc"
[12795] "@Willie_Rennie"
[12796] "@kezdugdale"
[12797] "flirting"
[12798] "disturbing"
[12799] "https://t.co/h1B4stWG6z"
[12800] "https://t.co/gyrnlW3SMo"
[12801] "garden's"
[12802] "homeless"
[12803] "triple"
[12804] "@ajaar ant"
[12805] "@DickWinchester"
[12806] "electricity"
[12807] "killed"
[12808] "programme"
[12809] "https://t.co/p5NzT51XS0"
## [12810] "https://t.co/3fGcB0ou"
## [12811] "horrified"
## [12812] "contributed"
## [12813] "presidential"
## [12814] "cultural"
## [12815] "debacle"
## [12816] "https://t.co/6CEH7kOVOn"
## [12817] "@ajohansen_"
## [12818] "9,347,326"
## [12819] "2001"
## [12820] "10mill"
## [12821] "@UNISONBroadland"
## [12822] "solution"
## [12823] "secretary's"
## [12824] "@unisontweets"
## [12825] "https://t.co/HL3UF"
## [12826] "@asjadnazir"
## [12827] "https://t.co/J9tOueUn0U"
## [12828] "perforning"
## [12829] "endure"
## [12830] "https://t.co/dLuAgFUNAw"
## [12831] "lawnmower"
## [12832] "https://t.co/zCX4XFXe3x"
## [12833] "#GenerationNow"
## [12834] "#Police"
## [12835] "#G4S"
## [12836] "@FSBNorthYorks"
## [12837] "Small"
## [12838] "ambition"
## [12839] "#FSB2017"
## [12840] "https://t.co/6nALiS6j7d"
## [12841] "https://t.co/ufYZln7Cxo"
## [12842] "https://t.co/2yMWjmd2cL"
## [12843] "kid"
## [12844] "Soft"
## [12845] "@PreserveBritain"
## [12846] "Spoken"
## [12847] "Zionist"
## [12848] "unsafe"
## [12849] "gallop"
## [12850] "saviors"
## [12851] "https://t.co/k6iBhl6h0I"
## [12852] "@J2ocean"
## [12853] "#June8th"
## [12854] "https://t.co/jWeauHnItQ"
## [12855] "https://t.co/5XBWb9J4Km"
[12856] "Changes"

[12857] "24th"

[12858] "6th-7th"

[12859] "@damidude"

[12860] "Croydon"

[12861] "Richmond"

[12862] "#Genera"

[12863] "@theRCN"

[12864] "#Nursingcounts"

[12865] "@HeyKirstie_"

[12866] "@KitCatK"

[12867] "@KoPohIsen"

[12868] "intellectual"

[12869] "@StudentVoicesUK"

[12870] "https://t.co/PyoLi82FT7"

[12871] "@Slokes404"

[12872] "Couldn't"

[12873] "Alderley"

[12874] "Edge"

[12875] "Tuesday"

[12876] "https://t.co/7VRIJ1BDR3"

[12877] "Night"

[12878] "https://t.co/UBwy8SyQbq"

[12879] "prostitution"

[12880] "mouth"

[12881] "https://t.co/zeFBKt7Ch6"

[12882] ""

[12883] "goodness"

[12884] "@BITCGender"

[12885] "promising"

[12886] "https://t.co/24TX8vyEM6"

[12887] "@TeleWonderWomen"

[12888] "https://t.co/c2PFgKPyQU"

[12889] "https://t.co/W1fLCY0xBz"

[12890] "betting"

[12891] "fools"

[12892] "https://t.co/1Q7iJvcnvl"

[12893] "@socioblah"

[12894] "dafuq"

[12895] "https://t.co/8CEFyBooma"

[12896] "@jonathanfryer"

[12897] "access"

[12898] "clinical"

[12899] "trials"

[12900] "#ResearchAtRisk"

[12901] "@Pancr"
## [12902] "#MakeJuneTheEndOfHoey"
## [12903] "#No2brexit"
## [12904] "https://t.co/TToLiT4Jgo"
## [12905] "morally"
## [12906] "https://t.co/TKXjnYCjS1"
## [12907] "@parliamentview"
## [12908] "heck"
## [12909] "gauge"
## [12910] "Cross"
## [12911] "https://t.co/vC8YSsOQtQ"
## [12912] "pleases"
## [12913] "https://t.co/uwkafhxf9h"
## [12914] "@amandapalmer"
## [12915] "genie"
## [12916] "bottle"
## [12917] ""
## [12918] "equals"
## [12919] "IDS"
## [12920] "https://t.co/q1E82onJaS"
## [12921] "@Bsmith53095634"
## [12922] "feigning"
## [12923] "@acarmichael4mp"
## [12924] "#OrkneyandShetland"
## [12925] "https://t.co/hpniVwlq"
## [12926] "@CollectiveMarg"
## [12927] ""
## [12928] "Blimey"
## [12929] "Glastonbury"
## [12930] "engagement"
## [12931] "https://t.co/9rn5ASQBK8"
## [12932] "Isn't"
## [12933] "demagogy"
## [12934] "bitter"
## [12935] "SOARING"
## [12936] "PUBLIC"
## [12937] "DEBT"
## [12938] "instance"
## [12939] "@davecameroon"
## [12940] "https://t.co/r9b6a19QqP"
## [12941] "egging"
## [12942] "@TomSpareUKC"
## [12943] "#blog"
## [12944] "https://t.co/bz9tnicJON"
## [12945] "#Politics"
## [12946] "#Vot"
## [12947] "https://t.co/fmK5wx9QuJ"
[12948] "@Deborah4Torbay"

[12949] "Deborah"

[12950] "Brewer"

[12951] "Torbay"

[12952] "https://t.co/P9lLfovyQG"

[12953] "@MidlandsLimey"

[12954] "almighty"

[12955] "Speechless"

[12956] "Job"

[12957] "Set"

[12958] "Robert"

[12959] "Peel"

[12960] "1829"

[12961] "#MetPolice"

[12962] "https://t.co/8r36YSkf45"

[12963] "Alison"

[12964] "combination"

[12965] "non-compulsory"

[12966] "#terror"

[12967] "incidents"

[12968] "#GetOffYourArse"

[12969] "patient"

[12970] "straighten"

[12971] "@johnnypaige"

[12972] "@JocularJxhn"

[12973] "judging"

[12974] "https://t.co/ylqvNCA18U"

[12975] "@jc4pm10"

[12976] "https://t.co/GyRu"

[12977] "@Elizabeth4NEF"

[12978] "#NorthEastFife"

[12979] "https://t.co/dmUklaw81e"

[12980] "@vodden_kim"

[12981] "@JoeThorpe1963"

[12982] "@daverussell"

[12983] "suck"

[12984] "Labor"

[12985] "https://t.co/97oEpnIs2k"

[12986] "k"

[12987] "bombings"

[12988] "correctness"

[12989] "@VoteWinchester"

[12990] "Winchester"

[12991] "#votenhs"

[12992] "@votewinchester"

[12993] "#nomay"
## [12994] "@mackaysuzie"
## [12995] "#TERRORISM"
## [12996] "https://t.co/4E6V4BTv2m"
## [12997] "Swear"
## [12998] "equivalent"
## [12999] "#dailyfail"
## [13000] "https://t.co/HT4PBbNrFx"
## [13001] "halal"
## [13002] "@birminghammail"
## [13003] "brands"
## [13004] "loony"
## [13005] "event"
## [13006] "Solihull"
## [13007] "https://t.co/7QfsUoSuj"
## [13008] "@johnrussell1962"
## [13009] "self-serving"
## [13010] "@Peter_Dowd"
## [13011] "Protect"
## [13012] "Wild"
## [13013] "Animals"
## [13014] "https://t.co/D1ntlujKxx"
## [13015] "https://t.co/RZv1cwy60t"
## [13016] "@AbusedKids"
## [13017] "@CLBSolicitors"
## [13018] "@geekinthejungle"
## [13019] "@NetworkJustice"
## [13020] "#NationalRunningDay"
## [13021] "#SaveOurOcean"
## [13022] "#gwcloudtech"
## [13023] "#skypapers"
## [13024] "#PrinceDay"
## [13025] "hilarious"
## [13026] "anticipated"
## [13027] "Cba"
## [13028] "june"
## [13029] "justice"
## [13030] "prevail"
## [13031] "hate.We"
## [13032] "Pres"
## [13033] "enforcement"
## [13034] "deplorable"
## [13035] "https://t.co/ytbE9niLZs"
## [13036] "https://t.co/BgePS7V8nz"
## [13037] "https://t.co/9vfuwexL7V"
## [13038] "@Chrisma06677356"
## [13039] "naming"
[13040] "12,000"
[13041] "London's"
[13042] "https://t.co/rQmgyK4KEs"
[13043] "@mattzarb"
[13044] "@scribblercat"
[13045] "@tigrecito48"
[13046] "Between"
[13047] "stools"
[13048] "#NoRealChoice"
[13049] "#voting"
[13050] "https://t.co/G5AVmd4vif"
[13051] "https://t.co/3vt2g3xRwj"
[13052] "@DavidHeadViews"
[13053] "@QuondamOptimist"
[13054] "@BBCRadio2"
[13055] "Nor"
[13056] "deigned"
[13057] "interviewed"
[13058] "https://t.co/sBWOk72niU"
[13059] "@livsteph_"
[13060] "https://t.co/AkwoSsaMKL"
[13061] "https://t.co/OSCkugP0N7"
[13062] "@DebbiMcCall"
[13063] "#teampenicuik"
[13064] "#owen4mid"
[13065] "https://t.co/iT1PpfY5CT"
[13066] "@BBCBusiness"
[13067] "@bbckamal"
[13068] "@bbcsimonjack"
[13069] "Electionomics"
[13070] "@BBCRadio4"
[13071] "https://t.co/nowev4yEkY"
[13072] "https://t.co/88kYTE5MRU"
[13073] "Worth"
[13074] "reflecting"
[13075] "@georgieboy58"
[13076] "@AdkinsSuz"
[13077] "@LadPolitics"
[13078] "#NotAClue"
[13079] "#NewMedia"
[13080] "https://t.co/BxUNVrDXyJ"
[13081] "transferable"
[13082] "@tez_ldn"
[13083] "dad's"
[13084] "https://t.co/eBUNIBh9sX"
[13085] "Aleka"
[13086] "https://t.co/LtMsFGygHu"
[13087] "@NUTonline"
[13088] "1m"
[13089] "parent"
[13090] "https://t.co/2yPrA0TT3u"
[13091] "@Briggs_AnyJ"
[13092] "malarchy"
[13093] "https://t.co/wrGM9aMgb1"
[13094] "Giant"
[13095] "billboard"
[13096] "handshake"
[13097] "causes"
[13098] "traffic"
[13099] "jams"
[13100] "M4"
[13101] "https://t.co/URkGw96T8Y"
[13102] "approached"
[13103] "Cowardly"
[13104] "#Melts"
[13105] "@paul_burnett27"
[13106] "tireless"
[13107] "inspirational"
[13108] "campaigner"
[13109] "https://t.co/tLsQ9iknGS"
[13110] "@MariaAgnesQuinn"
[13111] "atrocities"
[13112] "occurring"
[13113] "#privileged"
[13114] "able2USE"
[13115] "MY"
[13116] "VOICE"
[13117] "treat"
[13118] "decently"
[13119] "fairly"
[13120] "#SaveoutNHS"
[13121] "Exercising"
[13122] "@Beachdrifter74"
[13123] "@DaveMJo1"
[13124] "https://t.co/Xbu9XkC1zZ"
[13125] "@FryGerard"
[13126] "uncircumcised"
[13127] "@ChrisHazzardSF"
[13128] "#SouthDown"
[13129] "https://t.co/UAFQMpWnOp"
[13130] "https://t.co/rmtocOZVWn"
[13131] "MASSIVELY"
[13132] "IMPORTANT"
[13133] "representing"
[13134] "https://t.co/Jbyo2RFYls"
[13135] "@Holah16"
[13136] "https://t.co/PgbQ8UQnq0"
[13137] "People4Bernie"
[13138] "https://t.co/x9b55wCucA"
[13139] "@lawclarke72"
[13140] "slightest"
[13141] "@RichNeville"
[13142] "SLEEP"
[13143] "SOON"
[13144] "https://t.co/bISHd5FOMO"
[13145] "#LGBTQ"
[13146] "#LGBT"
[13147] "#Gay"
[13148] "https://t.co/h9Rp7MPBGa"
[13149] "@logan_unwin1"
[13150] "talented"
[13151] "https://t.co/wRbdKhHXHK"
[13152] "@keithpp"
[13153] "@JoshThomas1994"
[13154] "type"
[13155] "person.The"
[13156] "pol"
[13157] "@UncleTimi"
[13158] "we've"
[13159] "https://t.co/NqIzNLsgoN"
[13160] "@NorbertElekes"
[13161] "@4thGenAmerican"
[13162] "@justanavywife"
[13163] "@robbystarbuck"
[13164] "@EgSophie"
[13165] "@Courtney"
[13166] "@dj_diabeatic"
[13167] "@lsarsour"
[13168] "@womensmarch"
[13169] "@frankgaffney"
[13170] "@ClareMLopez"
[13171] "@DineshDSouza"
[13172] "@TuckerCarlson"
[13173] "@tomborelli"
[13174] "@BuckSexton"
[13175] "@Gavin_McInnes"
[13176] "paste"
[13177] "@laarsour"
[13178] "Lee"
[13179] "@whyteleafedavid"
[13180] "#EastSurrey"
[13181] "@Dailewis"
[13182] "#votelab"
[13183] "@petersgjc"
[13184] "@PoliticoGE17"
[13185] "jeez"
[13186] "dragged"
[13187] "swim"
[13188] "surface"
[13189] ""
[13190] "https://t.co/yi1j0kKkj3"
[13191] "@tlsg99"
[13192] "@queennoreen"
[13193] "#gutterjournalism"
[13194] "https://t.co/GLNSOerSNu"
[13195] "courest"
[13196] "amazed"
[13197] "woah"
[13198] "https://t.co/AhvlciRAMg"
[13199] "represents"
[13200] "that'll"
[13201] "vastly"
[13202] "uniquely"
[13203] "unhelpful"
[13204] "drove"
[13205] "screwing"
[13206] "@iamrosarobson"
[13207] "pioneering"
[13208] "Worried"
[13209] "https://t.co/WLUjkqYpCO"
[13210] "@oxexl_"
[13211] "@Tabloidtutor"
[13212] "slashing"
[13213] "raising"
[13214] "#voteforhope"
[13215] "twaddle"
[13216] "uS"
[13217] "Militants"
[13218] "spiining"
[13219] "TL"
[13220] "Ebola"
[13221] "@SophieLong01"
[13222] "Elect"
[13223] "pro-choice"
[13224] "pro-women"
[13225] "pro-NHS"
[13226] "anti-austerity"
[13227] "Clare"
[13228] "https://t.co/zocwoeiNpl"
[13229] "@Bhiggins1987"
[13230] "@MarieAnnUK"
[13231] "@JoshNeicho"
[13232] "cld"
[13233] "triumph"
[13234] "NE"
[13235] "Mids"
[13236] "@DehennaDavison"
[13237] "@sarah_heald"
[13238] "@pmcuthbertson"
[13239] "@HenryNewman"
[13240] "@NicholaMallon"
[13241] "Belfast.SDLP"
[13242] "DUP.I"
[13243] "money's"
[13244] "on.The"
[13245] "Pro-EU"
[13246] "https://t.co/DFv9I4BjAY"
[13247] "https://t.co/IOFbycyUkV"
[13248] "https://t.co/5Jd3jLlz5P"
[13249] "@leftlinks"
[13250] "@AnnekaSvenska"
[13251] "ivory"
[13252] "Profits"
[13253] "antiques"
[13254] "Africa's"
[13255] "elephants"
[13256] "https://t.co/yyRdpb8Gst"
[13257] "@Chana9MUFC"
[13258] "bagsy"
[13259] "aux"
[13260] "Corp"
[13261] "rates"
[13262] "losses"
[13263] "steroids"
[13264] "criteria"
[13265] "education-after"
[13266] "DECADE"
[13267] "@PorciaBianca"
[13268] "heaven's"
[13269] "elitism"
## [13270] "#USA"
## [13271] "Neo-Nazi"
## [13272] "listing"
## [13273] "supremacists"
## [13274] "https://t.co/opSPP5x2Ub"
## [13275] "https://t.co/thZxEIe6aa"
## [13276] "Tactical"
## [13277] "Cross-parties"
## [13278] "alliances"
## [13279] "cohesiveness"
## [13280] "@BernardMcEldown"
## [13281] "#RollOnFriday"
## [13282] "@WIPRUK"
## [13283] ""
## [13284] "https://t.co/qwkz28Z04h"
## [13285] "https://t.co/lHmnfak1Wk"
## [13286] "ahem"
## [13287] "overlapping"
## [13288] "relationships"
## [13289] "Twat"
## [13290] "https://t.co/XNcYzLN4fX"
## [13291] "https://t.co/laUIy6eDWO"
## [13292] "Supports"
## [13293] "Tory-held"
## [13294] "https://t.co/ZtfQkLyVx2"
## [13295] "Every1"
## [13296] "eligible2"
## [13297] "comparison"
## [13298] "assist"
## [13299] "https://t.co/9mNvfJ6mJy"
## [13300] "brutal"
## [13301] "https://t.co/KC272jbh4M"
## [13302] "@IsinElicin"
## [13303] "ingiltere"
## [13304] "terör"
## [13305] "finansmanı"
## [13306] "raporunu"
## [13307] "açıklamıyor"
## [13308] "iddia"
## [13309] "3,5"
## [13310] "milyar"
## [13311] "silah"
## [13312] "anlaşması"
## [13313] "yapılan"
## [13314] "SA'nın"
## [13315] "rolü"
[13316] "yüzünden"
[13317] "@M_Roper96"
[13318] "https://t.co/m7f4C4mVoR"
[13319] "caused"
[13320] "blinking"
[13321] "https://t.co/YCJirFDJxL"
[13322] "actions"
[13323] "volumes"
[13324] "antisemitism"
[13325] "directly"
[13326] "muslim"
[13327] "takeover"
[13328] "grips"
[13329] "https://t.co/EdQTdKwD5q"
[13330] "#ukpoverty"
[13331] "https://t.co/SadVxwKvhM"
[13332] "@EwanMutch"
[13333] "expenses"
[13334] "#VolunteersWeek2017"
[13335] "#Sheffield"
[13336] "who've"
[13337] "#VoteGre"
[13338] "Paxington"
[13339] "https://t.co/yDfN7WJwCD"
[13340] "@ryanCRASHBURN"
[13341] "firms"
[13342] "https://t.co/Yjxg8wK5ek"
[13343] "moments"
[13344] "70s"
[13345] "#timeforchange"
[13346] "shoeing"
[13347] "@LanaDelRaytheon"
[13348] "SLAVEOWNERS"
[13349] "https://t.co/8CGjX1Rkkb"
[13350] "https://t.co/BA0eQd0q8f"
[13351] "Closing"
[13352] "tracker"
[13353] "https://t.co/qKesk0vRbJ"
[13354] "vía"
[13355] "@ClarNiUigin"
[13356] "#Twitter"
[13357] "nerves"
[13358] "@Squeewockle"
[13359] "Coolio"
[13360] "@nicfromwales"
[13361] "https://t.co/mpS33PKajk"
## [13362] "ish"
## [13363] "TORY"
## [13364] "graphics"
## [13365] "highlighting"
## [13366] "awfulness"
## [13367] "https://t.co/r1ybaiRoF3"
## [13368] "@To_craigb"
## [13369] "@ValeofClwydLab"
## [13370] "adequately"
## [13371] "minimum"
## [13372] "#1"
## [13373] "https://t.co/8wgbOxxweT"
## [13374] "@DrJohnChisholm"
## [13375] "@Misterbrowne"
## [13376] "ahahahhhahahhahaahahhahahhahaahhaha"
## [13377] "https://t.co/srt6Rfb1HT"
## [13378] "LAST"
## [13379] "8-year"
## [13380] "cycle"
## [13381] "bigly"
## [13382] "https://t.co/dNC2s5AqzE"
## [13383] "https://t.co/X5k8HyDpkA"
## [13384] "@carolinew51158"
## [13385] "stats"
## [13386] "texts"
## [13387] "https://t.co/cXjViGrFuu"
## [13388] "@secret_cinema"
## [13389] "#SecretCinema"
## [13390] "Com"
## [13391] "Doing"
## [13392] "Asked"
## [13393] "#SecretYouth"
## [13394] "https://t.co/UZSZ6t8Cj2"
## [13395] "@mtehuitz"
## [13396] "obstructing"
## [13397] "https://t.co/v3d417KNc5"
## [13398] "@DannyHozack"
## [13399] "#CPC"
## [13400] "#climate"
## [13401] "#fraud"
## [13402] "redistribution"
## [13403] "#cndpoli"
## [13404] "#wrp"
## [13405] "https://t.co/z13GgZ7hq4"
## [13406] "@DrNinja_"
## [13407] "vot"
[13408] "https://t.co/I3g8d4UCS4"

[13409] "@BiancaJagger"

[13410] "@ShinyShaj"

[13411] "@Smur_OK"

[13412] "@bpolitics"

[13413] "dumping"

[13414] "previous"

[13415] "to-do"

[13416] "#NoProbs"

[13417] "#Anytime"

[13418] "@davudov_34"

[13419] "@AFP"

[13420] "theblockhead"

[13421] "Iran"

[13422] "alliance"

[13423] "Saudis"

[13424] "https://t.co/NTIMJg"

[13425] "Ahhh"

[13426] "crazyyy"

[13427] "https://t.co/KH10I9NDhn"

[13428] "apathetic"

[13429] "@delisb30"

[13430] "confirm"

[13431] "@annedwardsrl13"

[13432] "@lisanandy"

[13433] "@JoPlatt4Leigh"

[13434] "victories"

[13435] "#GE2015"

[13436] "match"

[13437] "https://t.co/L2DOsWQ88U"

[13438] "https://t.co/bD1LdlIdh7"

[13439] "@Griff_Monkeyboy"

[13440] "spoken"

[13441] "https://t.co/wqCi51C4Aa"

[13442] "Chris"

[13443] "Williamson"

[13444] "https://t.co/8RfP9Wkx5t"

[13445] "CORNFLAKES"

[13446] "KAREN"

[13447] "forever"

[13448] "phenomenal"

[13449] "@polifucius"

[13450] "@thehill"

[13451] "cannibalizing"

[13452] "documentary"

[13453] "directed"
[13454] "Eli"
[13455] "Roth"
[13456] "@Nathanadd182"
[13457] "https://t.co/ziSYyukywq"
[13458] "https://t.co/xyNq03dCTn"
[13459] "@Faithidge"
[13460] "Stoke"
[13461] "Trent"
[13462] "Nth"
[13463] "Sth"
[13464] "Newcastle"
[13465] "Lyme"
[13466] "WOW"
[13467] "UNDECIDED"
[13468] "https://t.co/TVpPGMOu3Z"
[13469] "https://t.co/1T2vKGsLBo"
[13470] "@EmmaKennedy"
[13471] "enormously"
[13472] "bolstered"
[13473] "collapse"
[13474] "bellend"
[13475] "https://t.co/iQAusKid6H"
[13476] "smoothly"
[13477] "obliterates"
[13478] "observation"
[13479] "https://t.co/FOVv00J"
[13480] "@owenboswarva"
[13481] "Homeless"
[13482] "https://t.co/a5HvbuLGH4"
[13483] "@RCPCHtweets"
[13484] "#chil"
[13485] "@JonPessah"
[13486] "Dark"
[13487] "Follows"
[13488] "libertarians"
[13489] "Chilling"
[13490] "https://t.co/K5FM8UjZjR"
[13491] "@JohnDohArt"
[13492] "@BristolPost"
[13493] "@MomentumBristol"
[13494] "@MomentumSW"
[13495] "@BristolBestof"
[13496] "@lee_moran"
[13497] "@Upfest"
[13498] "https://t.co/u7C827KjXo"
[13499] "Lord"
[13500] "https://t.co/XEiJsfPWUK"

[13501] "@minesh22"

[13502] "gloat"

[13503] "https://t.co/XRXMxs29Bs"

[13504] "despotic"

[13505] "https://t.co/sebPxYNuA1"

[13506] "@RevolutionBreeze"

[13507] "@DoubleClick___"

[13508] "Nigel"

[13509] "https://t.co/EyQybtmqHw"

[13510] "parliamentary"

[13511] "Brighton"

[13512] "Hove"

[13513] "@peterkyle"

[13514] "hardcore"

[13515] "https://t.co/dERr427pW2"

[13516] "@channel4ne"

[13517] "reform"

[13518] "inefficient"

[13519] "treatments"

[13520] "Need"

[13521] "cross"

[13522] "review"

[13523] "arch-brexiteer"

[13524] "Portillo"

[13525] "#GE2107"

[13526] "https://t.co/ShPC4PrVkc"

[13527] "heartfelt"

[13528] "rarity"

[13529] "#MediaBias"

[13530] "https://t.co/7mWWBXwjoz"

[13531] "@CarrotStick2"

[13532] "https://t.co/NpgJwbLbvq"

[13533] "@Robert_Flockton"

[13534] "@jud_potter"

[13535] "smell"

[13536] "spaniel"

[13537] "https://t.co/nbzIkifbzY"

[13538] "Portugal"

[13539] "inlaws"

[13540] "presented"

[13541] "unexpected"

[13542] "holocaust"

[13543] "denial"

[13544] "@SkyBet"

[13545] "#RequestABet"
[13546] "forgot"
[13547] "attachment"
[13548] "https://t.co/SKvSkDXfjP"
[13549] "marry"
[13550] "sugar"
[13551] "daddy"
[13552] "divorce"
[13553] "@misterbumpman"
[13554] "Outward"
[13555] "Facing"
[13556] "International"
[13557] "Player"
[13558] "Cleverly"
[13559] "CH4"
[13560] "https://t.co/8YTZqgckGS"
[13561] "@DaveJ4Moorlands"
[13562] "#StaffordshireMoorlands"
[13563] "factcheck"
[13564] "https://t.co/5b9FqszPdm"
[13565] "#makeadifference"
[13566] "https://t.co/iFBNJGqunq"
[13567] "queues"
[13568] "https://t.co/jtisnVLCVG"
[13569] "https://t.co/xaxFR9Jj7g"
[13570] "@Mickeykt"
[13571] "@JaySekulow"
[13572] "lawsuit"
[13573] "https://t.co/3HnQ13als4"
[13574] "@KraigieAdare"
[13575] "Landslide"
[13576] "Proven"
[13577] "https://t.co/G"
[13578] "Sue"
[13579] "@MatthewMahabadi"
[13580] "Ravensthorpe"
[13581] "@Labour4Pboro"
[13582] "@eddiemurphy4pcc"
[13583] "https://t.co/CgmuMxVsRH"
[13584] "Immigration"
[13585] "causing"
[13586] "@BillyMontana81"
[13587] "Anybody"
[13588] "labelled"
[13589] "ConnedServantDiv"
[13590] "https://t.co/w36naijHBU"
[13591] "#IVoted"
## [13592] "#Housing"
## [13593] "#Education"
## [13594] "#SocialCare"
## [13595] "#Disabled"
## [13596] "#YoungVoters"
## [13597] " "
## [13598] "https://t.co/CHZroeebxJ"
## [13599] "@AntBarton89"
## [13600] "@tradasro"
## [13601] "Except"
## [13602] "redtories"
## [13603] "clean"
## [13604] "France"
## [13605] "https://t.co/3Xyk3cr7n1"
## [13606] "@Hazza786"
## [13607] "Person"
## [13608] "@peterdevineManc"
## [13609] "#DailyMail"
## [13610] "proprietor"
## [13611] "Rothermere"
## [13612] "#Hitler"
## [13613] "#Goebbels"
## [13614] "https://t.co/6bHP572mko"
## [13615] "@Nic_Ironbridge"
## [13616] "maligned"
## [13617] "bile"
## [13618] "heids"
## [13619] "https://t.co/q0saJ7DWep"
## [13620] "liebour"
## [13621] "mortgage"
## [13622] "@Fergoodness"
## [13623] "Cole-Hamilton"
## [13624] "suspended"
## [13625] "investigations"
## [13626] "https://t.co/y3m08N2mjq"
## [13627] "#BRITAIN"
## [13628] "CHOICE"
## [13629] "https://t.co/vgvYx76h0c"
## [13630] "@_Britain4Europe"
## [13631] "https://t.co/Lqf4XrVa5z"
## [13632] "@DavePrentis"
## [13633] "https://t.co/mGMM37wmnt"
## [13634] "https://t.co/W15FkIfJc9"
## [13635] "https://t.co/NH8WRDQ1T1"
## [13636] "Tim"
## [13637] "Farron"
## [13638] "shared"
## [13639] "https://t.co/6NOazLnyCJ"
## [13640] "@Furqan_Naeem"
## [13641] "https://t.co/Mo7tqbIDuG"
## [13642] "@hackista"
## [13643] "2200"
## [13644] "consist"
## [13645] "GO"
## [13646] "https://t.co/cr"
## [13647] "friendly"
## [13648] "LARDY"
## [13649] "ARSE"
## [13650] "#NoExcuses"
## [13651] "@Annak53"
## [13652] "gentle"
## [13653] "https://t.co/ZETOW8M4CP"
## [13654] "Damning"
## [13655] "capita"
## [13656] "https://t.co/UR9atkKUAo"
## [13657] "Snapchat"
## [13658] "Politicians"
## [13659] "demographics"
## [13660] "@Lughson"
## [13661] "@TheOfficialTSL"
## [13662] "@Lordmchaggis"
## [13663] "cheerfully"
## [13664] "gifting"
## [13665] "10PM"
## [13666] "72"
## [13667] "Curtis"
## [13668] "Thrasher"
## [13669] "Lovely"
## [13670] "trending"
## [13671] "https://t.co/V3InnerwOe"
## [13672] " "
## [13673] " "
## [13674] " "
## [13675] " "
## [13676] " "
## [13677] "@TheFiercestGay"
## [13678] "FLOOR"
## [13679] "EQUALITY"
## [13680] "https://t.co/6EDXTvkGfg"
## [13681] "peacemaker"
## [13682] "500"
## [13683] "troubles"
[13684] "solved"

[13685] "https://t.co/AnrdEsAqHR"

[13686] "@nhsconfed"

[13687] "Ten"

[13688] "steps"

[13689] "sustainable"

[13690] "https://t.co/5pWgCZ4MaT"

[13691] "https://t.co/bxgLShPdMn"

[13692] "braced"

[13693] "anti-independence"

[13694] "backlash"

[13695] "https://t.co/DgGiqlJsJH"

[13696] "https://t.co/MgBSAvZ74U"

[13697] "birthday"

[13698] ""

[13699] "@philipbromwell"

[13700] "bruising"

[13701] "pulling"

[13702] "punches"

[13703] "@Nintendoubt815"

[13704] "https://t.co/fycXCx1cgn"

[13705] "@Hisenb3rg"

[13706] "porn"

[13707] "@GeesQueen1"

[13708] "Shape"

[13709] "dictate"

[13710] "@JudithBuntingLD"

[13711] "@WBerksLibDems"

[13712] "#Newbury"

[13713] "tm"

[13714] "@acespacenewbury"

[13715] "https://t.co/pNcqd4Wsbg"

[13716] "@EtonOldBoys"

[13717] "feck"

[13718] "patronising"

[13719] "stagnating"

[13720] "mediocre"

[13721] "https://t.co/HrJ5M2BwSo"

[13722] "infight"

[13723] "#EURef"

[13724] "Far"

[13725] "https://t.co/QtwBsV9644"

[13726] "@tired_doc"

[13727] "@Lovejoy999"

[13728] "https://t.co/wBDYFM1cFD"

[13729] "status"
## [13730] "quo"
## [13731] "pissed"
## [13732] "base"
## [13733] "2019"
## [13734] "https://t.co/vmzMpgDJom"
## [13735] "https://t.co/Zgp0MiUoMH"
## [13736] "@youknowit0609"
## [13737] "Bittybitty"
## [13738] "bitty"
## [13739] "girls"
## [13740] "yuck"
## [13741] "Research"
## [13742] "borrowers"
## [13743] "https://t.co/yX7Q9szXGA"
## [13744] "Rather"
## [13745] "STUPID"
## [13746] "circle"
## [13747] "so-called"
## [13748] "https://t.co/r1G6wCsybF"
## [13749] "reddit"
## [13750] "democrat"
## [13751] "https://t.co/0w7zQtN7h9"
## [13752] "@LeonC1963"
## [13753] "#Twopartydictatorship"
## [13754] "@linuspoint"
## [13755] "implicated"
## [13756] "https://t.co/eykinOuKhB"
## [13757] "@imagine_2017"
## [13758] "100,000"
## [13759] "https://t.co/pmkKqJ1IKy"
## [13760] "#J"
## [13761] "@YvetteCooperMP"
## [13762] "brilliantly"
## [13763] "half-truths"
## [13764] "Satisfying"
## [13765] "https://t.co/TsKfRNTZH5"
## [13766] "@VanCharleston"
## [13767] "klaxon"
## [13768] "#WHDebate"
## [13769] "https://t.co/GME1YkhAe8"
## [13770] "Strange"
## [13771] "foist"
## [13772] "https://t.co/lfWPp2DslF"
## [13773] "planet"
## [13774] "placate"
## [13775] "swine"
[13776] "https://t.co/QFTYwmOipw"
[13777] "@Doublegooner"
[13778] "https://t.co/es71Px3azm"
[13779] "@Izzahaaa"
[13780] "unify"
[13781] "#VoteLa"
[13782] "@trtworld"
[13783] "https://t.co/6zMVXnBQsw"
[13784] "@ProudfootLynne"
[13785] "Humphries"
[13786] "derail"
[13787] "bending"
[13788] "saudis"
[13789] "sacred"
[13790] "cow"
[13791] "@edinvoloder"
[13792] "responsibility"
[13793] "https://t.co/V1I755n2VG"
[13794] "@Cllrldcarter"
[13795] "@Kuldip4Telford"
[13796] "https://t.co/JzkjmVhUxj"
[13797] "@Corbyn2win2017"
[13798] "27,000"
[13799] "degrees"
[13800] "altogether"
[13801] "#freedegree"
[13802] "https://t.co/h4wKeBbu07"
[13803] "@sharonreader"
[13804] "Shocker"
[13805] "https://t.co/F8Gsj9DxQu"
[13806] "licked"
[13807] "https://t.co/pdSkQitmnD"
[13808] "Proper"
[13809] "feisty"
[13810] "pointed"
[13811] "overwhelming"
[13812] "https://t.co/MjZjL6vUBB"
[13813] "@BenjaminLille"
[13814] "toss"
[13815] "thEiR"
[13816] "buddies"
[13817] "sponsors"
[13818] "https://t.co/RzmgxIWkBz"
[13819] "#Iwillnotvoteforcorbynthesympathiser"
[13820] "allegiance"
[13821] "Queen"
## [13822] "https://t.co/0SThtL9h83"
## [13823] "#PeoplesOath"
## [13824] "positives"
## [13825] "regressives"
## [13826] "https://t.co/FBiv5LHrue"
## [13827] "funniest"
## [13828] "#fieldsofwheat"
## [13829] "implies"
## [13830] "hopes"
## [13831] "https://t.co/E011ZXn6hg"
## [13832] "@sam_kriss"
## [13833] "https://t.co/8Bd0dGyvzC"
## [13834] "https://t.co/6WhhH4Jz8d"
## [13835] "@ByTheMins"
## [13836] "13-year-old"
## [13837] "@Ewanssports"
## [13838] "systems"
## [13839] "future's"
## [13840] "AM"
## [13841] "REALLY"
## [13842] "ENJOYING"
## [13843] "HOPE"
## [13844] "https://t.co/gAYuzHr9pH"
## [13845] "https://t.co/RuRdKbsHYY"
## [13846] "https://t.co/3kxUOnWjvt"
## [13847] "@nicholaswatt"
## [13848] "Labour's"
## [13849] "https://t.co/nWkp6bZLNp"
## [13850] "@LesleyBzz"
## [13851] "https://t.co/9CX8ygWcuD"
## [13852] "gathering"
## [13853] "https://t.co/EWvRthytKg"
## [13854] "https://t.co/STGiyjNLeb"
## [13855] "@SProgressives"
## [13856] "#VoteTactically"
## [13857] "Pavilion"
## [13858] "Lewes"
## [13859] "@StephenLloydEBN"
## [13860] "Eastbourne"
## [13861] "https://t.co/3LxcEQ492G"
## [13862] "savage"
## [13863] "milibanter"
## [13864] "https://t.co/N7yNPgtIdG"
## [13865] "https://t.co/ennhlwVps3"
## [13866] "#ScottishLabour"
## [13867] "extinction"
[13868] "https://t.co/pSvvTenDp7"

[13869] "@DaddyDeli"

[13870] "carer"

[13871] "https://t.co/Dwd4j5ZHp4"

[13872] "@1961_Paul"

[13873] "stress"

[13874] "18-25"

[13875] "@AshleyTheophane"

[13876] "lock"

[13877] "pension"

[13878] "#CallYourGrandFolks"

[13879] "https://t.co/LOBiuwSPn0"

[13880] "https://t.co/szsY4HddS9"

[13881] "@Iangfyfe"

[13882] "Faceless"

[13883] "robots"

[13884] "https://t.co/lc1UarFDgw"

[13885] "@FabPayne21"

[13886] "#ravensbourneschool"

[13887] "#bromley"

[13888] "Chislehurst"

[13889] "https://t.co/g5F7SGmJ3R"

[13890] "https://t.co/Vc5KpdqfDz"

[13891] "reducing"

[13892] "inequality"

[13893] "@gregkiessling"

[13894] "Sheer's"

[13895] "topic"

[13896] "https://t.co/fxPpXJnxaD"

[13897] "@peterw97_"

[13898] "@brummieeagle"

[13899] "comedy"

[13900] "#abbott"

[13901] "https://t.co/nBNStfhq01"

[13902] "@limehousepod"

[13903] "LHP"

[13904] "crew"

[13905] "@normanlamb"

[13906] "atten"

[13907] "https://t.co/SkK8rUV4x3"

[13908] "https://t.co/Q3NaiCdmVa"

[13909] "https://t.co/ahumFJPv13"

[13910] "@BethRigby"

[13911] "Vintage"

[13912] "Burley"

[13913] "https://t.co/m8uNhdES5I"
## [13914] "#BetterDeadThanRed"
## [13915] "#KateHoey"
## [13916] "https://t.co/JMebOrCaTo"
## [13917] "@Han_El_"
## [13918] "breath"
## [13919] "clock"
## [13920] "strikes"
## [13921] "UPON"
## [13922] "https://t.co/FtdDSEYdUs"
## [13923] "@bobbyzelmut"
## [13924] "80k"
## [13925] "echo"
## [13926] "chamber"
## [13927] "surprised"
## [13928] "learn"
## [13929] "JC4PM"
## [13930] "band"
## [13931] "Tshirts"
## [13932] "https://t.co/dfptt1R398"
## [13933] "https://t.co/TanLK6tM46"
## [13934] "@joe90kane"
## [13935] "Effortlessly"
## [13936] "civilised"
## [13937] "@dontbrexitfixit"
## [13938] "She'll"
## [13939] "@love_belfast"
## [13940] "https://t.co/MEuDAsVOUS"
## [13941] "#flyporter"
## [13942] "regularly"
## [13943] "premium"
## [13944] "anymore"
## [13945] "#blacklist"
## [13946] ""
## [13947] "boycott"
## [13948] "https://t.co/QfMHH7r3Gm"
## [13949] "fundamental"
## [13950] "https://t.co/jodty"
## [13951] "effecting"
## [13952] "refused"
## [13953] "perfectly"
## [13954] "acceptable"
## [13955] "https://t.co/pDJ1mZqT3x"
## [13956] "https://t.co/URkG"
## [13957] "@The_ChrisShaw"
## [13958] "Delighted"
## [13959] "https://t.co/wXgcl1ZHMe"
[13960] "@ellenfromnowon"
[13961] "https://t.co/QpWOMD6kuS"
[13962] "https://t.co/DNNBQucDai"
[13963] "@MiaSpanishEyes"
[13964] "Nicely"
[13965] "buying"
[13966] "space"
[13967] ""
[13968] "https://t.co/R8mEm3M8Ud"
[13969] "g'night"
[13970] "https://t.co/wgTOBKTubu"
[13971] "Step"
[13972] "voila"
[13973] "https://t.co/jV7E1mAD9R"
[13974] "Insh'allah"
[13975] "https://t.co/N0r1StorUo"
[13976] "@The45Storm"
[13977] "shuts"
[13978] "@nw_nicholas"
[13979] "#hustings"
[13980] "https://t.co/JtCBFpk9b4"
[13981] "@AnalogueAndy"
[13982] "@ben4bath"
[13983] "@hairymat"
[13984] "@BathCA"
[13985] "@save_bca"
[13986] "@njr2801"
[13987] "@timothyball"
[13988] "@roadccdave"
[13989] "@BhamUpdates"
[13990] "@ummmno21"
[13991] "@50th_President"
[13992] "function"
[13993] "DNC"
[13994] "palatable"
[13995] "2progressives"
[13996] "@PeterEgan6"
[13997] "2C"
[13998] "sale"
[13999] "quietly"
[14000] "https://t.co/BrlJnvo0OS"
[14001] "#VOTELabour"
[14002] "@Scott1984_FP"
[14003] "https://t.co/H24ZELvXUv"
[14004] "@CutbackMark"
[14005] "shower"
## [14006] "unelectables"
## [14007] "https://t.co/dTRWZGLkpi"
## [14008] "Essential"
## [14009] "apart.Investment"
## [14010] "https://t.co/xXuvyoLGJS"
## [14011] "@freedomsforever"
## [14012] "https://t.co/Uwr080wYM7"
## [14013] "@AbsonJill"
## [14014] "#UKelection2017"
## [14015] "https://t.co/2o6cT2TTUq"
## [14016] "Backed"
## [14017] "#dogsatpetertideordinations"
## [14018] "Magnus"
## [14019] "ought"
## [14020] "#unorthodogs"
## [14021] "@GRGin1983"
## [14022] ""
## [14023] "@TheMiliverse"
## [14024] "poster"
## [14025] "designs"
## [14026] "pun"
## [14027] "consultancy"
## [14028] "Graphic"
## [14029] "Design"
## [14030] "passion"
## [14031] "https://t.co/RM7T0jK4h0"
## [14032] "@c_thommo"
## [14033] "Man"
## [14034] "https://t.co/zV5k2YKj47"
## [14035] "PROPAGANDA"
## [14036] "@Scientists4EU"
## [14037] "@JBHTD"
## [14038] "https://t.co/sMoH4yhswI"
## [14039] "affected"
## [14040] "under-reported"
## [14041] "grooming"
## [14042] "councils"
## [14043] "https://t.co/WmpExGoeH1"
## [14044] "https://t.co/EV7MzTB4Zz"
## [14045] "appeal"
## [14046] "Debra"
## [14047] "awake"
## [14048] "grim"
## [14049] "#LabourManifesto"
## [14050] "https://t.co/Am04tPcDjy"
## [14051] "confusing"
[14052] "dry"

[14053] "tone"

[14054] "relevance"

[14055] "@AylaEve"

[14056] "#forthemanynotthefew"

[14057] "https://t.co/ef9oteZKFD"

[14058] "@RFC__1873"

[14059] "canvassed"

[14060] "grown"

[14061] "@auntieani"

[14062] "#Winchester"

[14063] "ignores"

[14064] "constitue"

[14065] "@montie"

[14066] "unarmed"

[14067] "Murder"

[14068] "https://t.co/MR2kIP1Aw3"

[14069] "@laurilove"

[14070] "@SandraJLloyd"

[14071] "@Steve_Lawless"

[14072] "underfunded"

[14073] "jerry"

[14074] "petrol"

[14075] "@billybragg"

[14076] "JME"

[14077] "https://t.co/syRozP0b3W"

[14078] "@williamjohnbird"

[14079] "https://t.co/HNFdaytvJM"

[14080] "https://t.co/WiiatiUk7L"

[14081] "@BernieCrats1"

[14082] "attacking"

[14083] "https://t.co/ZWJKJscNui"

[14084] "@wowatwork"

[14085] "tomor"

[14086] "TX"

[14087] "https://t.co/9VWCZh9WZ1"

[14088] "@MyForestFarm"

[14089] "@CouchGenius"

[14090] "statistically"

[14091] "danger"

[14092] "@KevinRBeckenham"

[14093] "https://t.co/ydBpQ0fbiW"

[14094] "https://t.co/2A7paZT7oR"

[14095] "@LadyTrumpVoter"

[14096] "Believe"

[14097] "gvmnt"
## [14098] "agency"
## [14099] "corrupted"
## [14100] "targetting"
## [14101] "Ect"
## [14102] "job's"
## [14103] "https://t.co/Iw3bxkcliQ"
## [14104] "@officialspigsy"
## [14105] "https://t.co/x17Nw11a10"
## [14106] "judge"
## [14107] ""
## [14108] "https://t.co/LU5rqmyKg3"
## [14109] "@ruitavares"
## [14110] "Wooooo"
## [14111] "#Election"
## [14112] ""
## [14113] "@PeninsulaPestCo"
## [14114] "dinner"
## [14115] "@ArsenalMoh8"
## [14116] "#MakeJuneTheEndofMay"
## [14117] "https://t.co/g2nwFWOTUy"
## [14118] "contribution"
## [14119] "@Lil"
## [14120] "Damn"
## [14121] "https://t.co/0WXr7Hd01T"
## [14122] "https://t.co/TnlYxEFKyU"
## [14123] "@OwenThompson"
## [14124] "#TeamMidlothian"
## [14125] "https://t.co/Z296WkaFA5"
## [14126] "ink"
## [14127] "printing"
## [14128] "allegedly"
## [14129] "1,000"
## [14130] "https://t.co/0zAbP9SCD1"
## [14131] "angers"
## [14132] "witch"
## [14133] "Spoiler"
## [14134] "alert"
## [14135] "Leadership"
## [14136] "#changebritainsfuture"
## [14137] "https://t.co/uOwRUDyS3A"
## [14138] "#MichaelStanley"
## [14139] "@UKIP_CandN"
## [14140] "#Crewe"
## [14141] "Nantwich"
## [14142] "#DavidCrowther"
## [14143] "#LauraSmith"
[14144] "@CreweLabour"
[14145] "@edwardtimpson"
[14146] "https://t.co/fVJdN9P2dc"
[14147] "@alexmeredithLD"
[14148] "https://t.co/uOwRU"
[14149] "undercut"
[14150] "@DHammy1971"
[14151] "@TomiltonMLG"
[14152] "https://t.co/04BcqoWGHG"
[14153] "SLAB"
[14154] "Shameful"
[14155] "Literally"
[14156] "https://t.co/lBgGMxMxlQ"
[14157] "@paddypower"
[14158] "GIFs"
[14159] "https://t.co/4EiLeh9F5l"
[14160] "emigrate"
[14161] "Immigrants"
[14162] "contribute"
[14163] "2,798"
[14164] "https://t.co/fGk2VEjSAX"
[14165] "@CadrianzenGB"
[14166] "Resumen"
[14167] "últimas"
[14168] "encuestas"
[14169] "antes"
[14170] "https://t.co/VmTq5cZ7lH"
[14171] "@DayalJassal"
[14172] "#Libdems"
[14173] "https://t.co/QLtM5ifiIx"
[14174] "@daveyk317"
[14175] "@HLPW1"
[14176] "Busy"
[14177] "Illford"
[14178] "@LeeScott2017"
[14179] "https://t.co/Bt4tsLXp3o"
[14180] " "
[14181] " "
[14182] "https://t.co/sjJ73lUZ4J"
[14183] "nation's"
[14184] "prioritized"
[14185] "https://t.co/mWW9lHaIWf"
[14186] "tomorrow.Especially"
[14187] "uns"
[14188] "Pre"
[14189] "https://t.co/6wAiwjN3p2"
## [14190] "LIBDEMS"
## [14191] "mercy"
## [14192] "#gaolthemall"
## [14193] "#General"
## [14194] "Despite"
## [14195] "Sadiq"
## [14196] "Khan"
## [14197] "moaning"
## [14198] "Trump's"
## [14199] "snowflakes"
## [14200] "https://t.co/4lf18dHk4S"
## [14201] "@Tortured_Verse"
## [14202] "@ENQXO"
## [14203] "GOOGLED"
## [14204] "TRUE"
## [14205] "#UseAPen"
## [14206] "https://t.co/vgDKjHT7cb"
## [14207] "@JordanUhl"
## [14208] "McDs"
## [14209] "fragile"
## [14210] "tremors"
## [14211] "carton"
## [14212] "https://t.co/4zq8MxPVCR"
## [14213] "@davieclegg"
## [14214] "predicting"
## [14215] "https://t.co/03T5gqegnX"
## [14216] "@LabourAnimalRG"
## [14217] "anipals"
## [14218] "https://t.co/oNIQCGZyV5"
## [14219] "FUCKING"
## [14220] "redeem"
## [14221] "https://t.co/RUsgNW4m2b"
## [14222] "reason-and-freethought"
## [14223] "https://t.co/PIy7h6N7gk"
## [14224] "@owillis"
## [14225] "@MysteryOnward"
## [14226] "@Raunchy_Jesus"
## [14227] "deluded"
## [14228] "https://t.co/9PdV9Bw4E1"
## [14229] "assemble"
## [14230] "America"
## [14231] "labeled"
## [14232] "#whitesupremacy"
## [14233] "https://t.co/NVmxXLOcw3"
## [14234] "@bonniekiltie"
## [14235] "enjoy"
[14236] "@MellorFootball"

[14237] "2,051"

[14238] "Overall"

[14239] "Maj"

[14240] "74"

[14241] "Thatcher"

[14242] "cup"

[14243] "coffee"

[14244] "Britain's"

[14245] "@Barnabites"

[14246] "https://t.co/n724V3uUUp"

[14247] "https://t.co/OSbQMtZnuU"

[14248] "HANDS"

[14249] "lights"

[14250] "https://t.co/U13ANkmWTn"

[14251] "@LuvFB_HateFifa"

[14252] "Important"

[14253] "slowed"

[14254] "continually"

[14255] "@saeidpar"

[14256] " "

[14257] " "

[14258] " "

[14259] " "

[14260] " "

[14261] "https://t.co/mrJtne2cc4"

[14262] "@TelfordVice"

[14263] "African"

[14264] "butt"

[14265] "https://t.co/ScHj6evncw"

[14266] "@SarahEHatch"

[14267] "https://t.co/IPs3SDiWAk"

[14268] "City"

[14269] "region"

[14270] "integration"

[14271] "strategy"

[14272] "https://t.co/k26odZmocG"

[14273] "9,250"

[14274] "@JohnAnon2015"

[14275] "Diabetes"

[14276] "hardly"

[14277] "invested"

[14278] "Academy"

[14279] "https://t.co/pOCEerSuhd"

[14280] "tips"

[14281] "https://t.co/3lqiYOWh83"
## [14282] "#snpbecause"
## [14283] "https://t.co/pw9zqgAmze"
## [14284] "@DanielTheuma86"
## [14285] "https://t.co/j9HCggvt70"
## [14286] "https://t.co/Dvw5l5vLaf"
## [14287] "#turds"
## [14288] " "
## [14289] "FTMNTF"
## [14290] "https://t.co/Au4I7zjEA4"
## [14291] "Experts"
## [14292] "catch"
## [14293] "@Anita4Mansfield"
## [14294] "ten"
## [14295] "blatant"
## [14296] "anti-Ukip"
## [14297] "@her"
## [14298] "#redkip"
## [14299] "https://t.co/QF2ABQVnqP"
## [14300] "@aboutye1"
## [14301] "@SurryKnight"
## [14302] "@MexicoRS78"
## [14303] "unions"
## [14304] "trusts"
## [14305] "avoidance"
## [14306] "Plans"
## [14307] "uncosted"
## [14308] "unworkable"
## [14309] "#Ge17"
## [14310] "https://t.co/tRmWWhlXPz"
## [14311] "@ElaineDyson1"
## [14312] "imprisoned"
## [14313] "https://t.co/Gt0DXw5FWV"
## [14314] "natural"
## [14315] "https://t.co/uVmzFiJmK5"
## [14316] "https://t.co/buPjVzTqMG"
## [14317] "@MarkFoxNews"
## [14318] "@obviouslylysteph_"
## [14319] "gate"
## [14320] "https://t.co/f4zdGromhR"
## [14321] "https://t.co/eOCTLbgba5"
## [14322] "https://t.co/jTb5UxlJNF"
## [14323] "@Stuart_Pickett"
## [14324] "https://t.co/MR254yjZOs"
## [14325] "@RowanFarmer"
## [14326] "@grace mr"
## [14327] "https://t.co/0TsrSGrgNH"
[14328] "@Seancraughwell12"

[14329] "https://t.co/xLthqpxAPC"

[14330] "I'll"

[14331] "cancer"

[14332] "remains"

[14333] "priority"

[14334] "@macmillancancer"

[14335] "#CancerMatters"

[14336] "@UK_GE17"

[14337] "@metpoliceuk"

[14338] "@fbunational"

[14339] "@ppl assembly"

[14340] "@Union_NewsUK"

[14341] "#CutsHaveConsequences"

[14342] "@LondonUpdates"

[14343] "@VoteCorbyn2017"

[14344] "@PeoplesNotts"

[14345] "#CutsHurt"

[14346] "https://t.co/xOPDTJM11R"

[14347] "@UKGrime"

[14348] ""

[14349] "https://t.co/o1UoB83NXd"

[14350] "tweeps"

[14351] "https://t.co/ouaoC3Zx2Y"

[14352] "promption"

[14353] "deciding"

[14354] "@NuffieldLibrary"

[14355] "Wht"

[14356] "narrowing"

[14357] "Rosalind"

[14358] "Shorrocks"

[14359] "@StephenDFisher"

[14360] "@LSEpoliticsblog"

[14361] "https://t.co/1Or2nLR0rF"

[14362] "https://t.co/OVno2TUNIm"

[14363] "@PA"

[14364] "https://t.co/dxJ3bos0vZ"

[14365] "Stick"

[14366] "#StrongAndStableup"

[14367] "#Nomay"

[14368] "#brine"

[14369] "@ant292uk"

[14370] "@MattHackett19"

[14371] "BREXITERS"

[14372] "TOLD"

[14373] "@SParkerGGG"
[14374] "@Euflagmafia"
[14375] "@SheronWilkie"
[14376] "https://t.co/AnG1HXh18L"
[14377] "Game"
[14378] "https://t.co/IT5AZiDR73"
[14379] "@ChrisHyomes"
[14380] "#Pontefract"
[14381] "Pontefract"
[14382] "Normanton"
[14383] "Castleford"
[14384] "https://t.co/CyT7bFRdTJ"
[14385] "#noplan"
[14386] "#noclue"
[14387] "#5moreyears"
[14388] "https://t.co/5seh10f63B"
[14389] "@MarkJohnEssex"
[14390] "con"
[14391] "383"
[14392] "192"
[14393] "Working"
[14394] "121"
[14395] "bolsover"
[14396] "closely"
[14397] "https://t.co/wfW93J2B8Z"
[14398] "https://t.co/P6behJ1WjN"
[14399] "@GussyJackson"
[14400] "BNP"
[14401] "banner"
[14402] "VIDEOS"
[14403] "GRAPHS"
[14404] "https://t.co/ZrSOUAdC1x"
[14405] "@BerkanBudak1"
[14406] "horses"
[14407] "define"
[14408] "absurdly"
[14409] "https://t.co/96A5IzfN61"
[14410] "@WarkandLeamCLP"
[14411] "Warwick"
[14412] "Leamington"
[14413] "https://t.co/hjMIfmWVLl"
[14414] "@manoftwite"
[14415] "nonsensical"
[14416] "profile"
[14417] "brethren"
[14418] "Monster"
[14419] "Raving"
[14420] "numpty"
[14421] "https://t.co/vYshIXcdpp"
[14422] "@beautyofblack"
[14423] ""
[14424] "#BlackGirlMagic"
[14425] "SWING"
[14426] "https://t.co/oniZ8KXTjD"
[14427] "@justmebeingme4"
[14428] "admire"
[14429] "@franannemarie"
[14430] "https://t.co/u9cFDooPs6"
[14431] "@KarolinaKiy"
[14432] "https://t.co/qouViB6pby"
[14433] "Leaving"
[14434] "#BBCdebate"
[14435] "COUNT"
[14436] "https://t.co/ZCZJvcR7Wo"
[14437] "@CloughOlive"
[14438] "justified"
[14439] "overly"
[14440] "optimistic"
[14441] "#Cheshire"
[14442] "https://t.co/YV7WIRGfwj"
[14443] "https://t.co/hWlEo4tNec"
[14444] "@Coo1_Daddy"
[14445] "criminal"
[14446] "corrupt"
[14447] "HSBC"
[14448] "@FoodforRealFest"
[14449] "rainy"
[14450] "Wirral"
[14451] "@edge_nina"
[14452] "@TabithaKMoses"
[14453] "@squashnutrition"
[14454] "https://t.co/Gyw3Nge5f0"
[14455] "https://t.co/5Xk4ZsC1P0"
[14456] "@Gouveia"
[14457] "maioria"
[14458] "dos"
[14459] "jornais"
[14460] "portugueses"
[14461] "são"
[14462] "iguais"
[14463] "Mas"
[14464] "muito"
[14465] "mais"
## [14466] "desonestos"
## [14467] "estes"
## [14468] "pois"
## [14469] "fazem"
## [14470] "mesmo"
## [14471] "prol"
## [14472] "um"
## [14473] "mas"
## [14474] "às"
## [14475] "escondidas"
## [14476] "https://t.co/Ac1JL1RL1M"
## [14477] "@alxndrt"
## [14478] "@rushanaraali"
## [14479] "Columbia"
## [14480] "Primary"
## [14481] "@TH_Labour_Party"
## [14482] "@green_columbia"
## [14483] "@ebony_columbia"
## [14484] "https://t.co/ZILt48cWe1"
## [14485] "fantastically"
## [14486] "https://t.co/NatuqqrkEK"
## [14487] "satisfaction"
## [14488] "pieces"
## [14489] "manage"
## [14490] "https://t.co/sAooDz6D4u"
## [14491] "@RodneyBates1"
## [14492] "@laweenatroshi"
## [14493] "@CllrJamesDawson"
## [14494] "@catkinson80"
## [14495] "@vi"
## [14496] "@TheOutRight"
## [14497] "#PaulNuttall"
## [14498] "#LabourUK"
## [14499] "#LbDem"
## [14500] "#Brex"
## [14501] "https://t.co/A7ZfyWOc2P"
## [14502] "@davies42g"
## [14503] "https://t.co/HA19flfaBJ"
## [14504] "#Arfon"
## [14505] "Arfon"
## [14506] "@lb_southwark"
## [14507] "https://t.co/HkTjYNb038"
## [14508] "https://t.co/vfhkaOcboH"
## [14509] "Woudnt"
## [14510] "AN"
## [14511] "east"
[14512] "turns"

[14513] "capitalist"

[14514] "Newspaper"

[14515] "elections-a"

[14516] "https://t.co/fzmRcFVJI3"

[14517] "https://t.co/J1Wn9jX2rI"

[14518] "passporting"

[14519] "https://t.co/hNsVZrZmG4"

[14520] "prisons"

[14521] "https://t.co/ijjvXlt1Ue"

[14522] "CAMRA_Official"

[14523] "#pledgeforpubs"

[14524] "https://t.co/VPc3gzotwB"

[14525] "#ISLAM"

[14526] "@ToniGiugliano"

[14527] ""

[14528] "https://t.co/BnSzy2WZ4E"

[14529] "https://t.co/fe34L10yjq"

[14530] "https://t.co/11EymgY7DN"

[14531] "#BBCqt"

[14532] "https://t.co/xOiaiXjpfF"

[14533] "@metalgirl82"

[14534] "https://t.co/CvmNnp6j7q"

[14535] "basing"

[14536] "decided"

[14537] "https://t.co/meeOqsosoH"

[14538] "bashing"

[14539] "feminism"

[14540] "wi"

[14541] "TIN"

[14542] "LADY"

[14543] "@F_F_Ryedale"

[14544] "Double"

[14545] "#fracking"

[14546] "https://t.co/D4WMOvUu84"

[14547] "@ruthhayhurst"

[14548] "@ramblinactivist"

[14549] "PEMRA"

[14550] "RAMZAN"

[14551] "Transmission"

[14552] "Female"

[14553] "host"

[14554] "DUPATTA"

[14555] "@CroydonLabour"

[14556] "pen"

[14557] "cheat"
## [14558] "https://t.co/iwpxOgUrza"
## [14559] "Putin"
## [14560] "https://t.co/yunRaCTFWH"
## [14561] "@toptiphorses1"
## [14562] "bets"
## [14563] "8.00"
## [14564] "upon"
## [14565] "Blink"
## [14566] "https://t.co/P1IqDTzPN8"
## [14567] "Y"
## [14568] "gorau"
## [14569] "lwc"
## [14570] "ein"
## [14571] "holl"
## [14572] "ymgeiswyr"
## [14573] "yfory"
## [14574] "Wneud"
## [14575] "falch"
## [14576] "Nos"
## [14577] ""
## [14578] "https://t.co/AyZu3KU45S"
## [14579] "football"
## [14580] "tiny"
## [14581] "https://t.co/hRahYVsgUT"
## [14582] "https://t.co/JwNcLno8SJ"
## [14583] "@MindCharity"
## [14584] "@counsellors_UK"
## [14585] "counsellor"
## [14586] "reviews"
## [14587] "@vincemaple"
## [14588] "@TanDhesi"
## [14589] "outplayed"
## [14590] "outnumbered"
## [14591] "https://t.co/I2ga1X0rD1"
## [14592] "campaign's"
## [14593] "clashes"
## [14594] "fiery"
## [14595] "https://t.co/9endyz3NQD"
## [14596] "obnoxious"
## [14597] "@dtordtor1"
## [14598] "https://t.co/P6be"
## [14599] "confuse"
## [14600] "era"
## [14601] "horizon"
## [14602] "@sam__clegg"
## [14603] "@nayesie"
## [14604] "Ahahahaha"
## [14605] "Kansas"
## [14606] "#tax"
## [14607] "originally"
## [14608] "repealed"
## [14609] "https://t.co/T8fkDupoGa"
## [14610] "bankrolled"
## [14611] "McCluskey"
## [14612] "dark"
## [14613] "1970s"
## [14614] "@DazzThomas"
## [14615] "@branwencennard"
## [14616] "https://t.co/SnkAslaWbB"

### 4.6.3.5 Keyword-in-contexts (kwic)

#### 4.6.3.5.1 Pattern
You can see how keywords are used in the actual contexts in a concordance view produced by `kwic()`. `Pattern` is used to search for the pattern we are interested in (with `*` as a wildcard). `Window` used to display number of words/tokens around it.

```
dat_twitter_corpus_tokens_no_punct_pres <- kwic(dat_twitter_corpus_tokens_no_punct, pattern = head(dat_twitter_corpus_tokens_no_punct_pres, 10))
```

```
## Keyword-in-context with 10 matches.
```

```
## [twitter.json.112, 9]      People are mocking the Tory gutter | press |
## [twitter.json.131, 9]      People are mocking the Tory gutter | press |
## [twitter.json.192, 20]      and it's time to support the | president |
## [twitter.json.307, 7]      RT@StrongerStabler We aren't voting for | president |
## [twitter.json.367, 7]      RT@StrongerStabler We aren't voting for | president |
## [twitter.json.465, 9]      People are mocking the Tory gutter | press |
## [twitter.json.536, 5]       RT@SocialistVoice Tory gutter | press |
## [twitter.json.759, 15]      has only page numbers So Tory | press |
## [twitter.json.792, 11]      This so called Marxist will not | press |
## [twitter.json.1311, 20]     amp what matters most to us | Press |
##
```

```
## with hashtag#LastMinuteCorbynSmears#VoteLabour#GE2017 https://t.co/7K8wcg
## with hashtag#LastMinuteCorbynSmears#VoteLabour#GE2017 https://t.co/7K8wcg
## https://t.co/zZZyAvSw70 https://t.co/oswAkrOucP
## here Vote for party whose manifesto
## here Vote for party whose manifesto
## with hashtag#LastMinuteCorbynSmears#VoteLabour#GE2017 https://t.co/7K8wcg
## attempts to destroy Jeremy Corbyn on
## say economic credibility isn't important this
## the red button amp melt you
## manipulate our views tho Hate it
```
## [9] "Corbyn" "Jeremy" "#GE2017" "#GE17"
## [ ... and 2 more ]
## twitter.json.3 :
## [1] "RT" "@ryvr"
## [3] "Stephen" "Hawking"
## [5] "world's" "smartest"
## [7] "Jeremy" "Corbyn"
## [9] "https://t.co/2kl3ayLd44" "#TuesdayThoughts"
## twitter.json.4 :
## [1] "RT" "@TheGreenParty"
## [3] "cast" "vote"
## [5] "shape" "future"
## [7] "single" "vote"
## [9] "counts" "Tomorrow"
## [11] "#VoteGreen2017" "https://t.co/QgEdxfnDCK"
## twitter.json.5 :
## [1] "RT" "@UKLabour"
## [3] "#VoteLabour" "fairer"
## [5] "Britain" "vote"
## [7] "share" "↓"
## [9] "https://t.co/953WYc2p0c" "https://t.co/kDnXiJ"
## twitter.json.6 :
## [1] "RT" "@WestmonsterUK" "POLLS" "FINAL"
## [5] "DAY" "AVERAGE" "43.8" "LAB"
## [9] "35.4" "LD" "8" "UKIP"
## [ ... and 3 more ]
##
## [ reached max_ndoc ... 7,498 more documents ]

4.6.3.7 wordstem

To be able to extract the stems of each of the given words, we use the function
tokens_wordstem, char_wordstem or dfm_wordstem

dat_twitter_corpus_stem <- tokens_wordstem (dat_twitter_corpus_tok dat_twitter_corp

4.6.3.7.1 tokens_wordstem

## Tokens consisting of 7,504 documents and 42 docvars.
## twitter.json.1 :
## [1] "@EFC_Jayi" "UKIP"
<table><tr><td>## twitter.json.1</td><td>1</td><td>1</td><td>0</td><td>0</td><td>0</td><td>0</td></tr><tr><td>## twitter.json.2</td><td>0</td><td>0</td><td>1</td><td>1</td><td>1</td><td>1</td></tr><tr><td>## twitter.json.3</td><td>0</td><td>0</td><td>1</td><td>0</td><td>0</td><td>0</td></tr><tr><td>## twitter.json.4</td><td>0</td><td>0</td><td>1</td><td>0</td><td>0</td><td>0</td></tr><tr><td>## twitter.json.5</td><td>0</td><td>0</td><td>1</td><td>0</td><td>0</td><td>0</td></tr><tr><td>## twitter.json.6</td><td>0</td><td>1</td><td>1</td><td>0</td><td>0</td><td>0</td></tr></table>

features

docs watford ralli jeremi

<table><tr><td>## twitter.json.1</td><td>0</td><td>0</td><td>0</td></tr><tr><td>## twitter.json.2</td><td>1</td><td>1</td><td>2</td></tr><tr><td>## twitter.json.3</td><td>0</td><td>0</td><td>1</td></tr><tr><td>## twitter.json.4</td><td>0</td><td>0</td><td>0</td></tr><tr><td>## twitter.json.5</td><td>0</td><td>0</td><td>0</td></tr><tr><td>## twitter.json.6</td><td>0</td><td>0</td><td>0</td></tr></table>

## [ reached max_ndoc ... 7,498 more documents, reached max_nfeat ... 10,861 more features ]

We use the `rvest` package to obtain data from a specific URL. See here for advanced webscrapping. Look at this link as well for a more straightforward way.

## 4.7 Single web page

### 4.7.1 Read_html

```r
web_page <- rvest::read_html("https://www.tidyverse.org/packages/")
web_page
```

```r
## {html_document}
## <html>
## [1] <head>\n<meta http-equiv="Content-Type" content="text/html; charset=UTF-8" ...
## [2] <body>\n<div id="appTidyverseSite" class="shrinkHeader alwaysShrinkHeader ...
```

Because the downloaded file contains an unnecessary information. We process the data to extract only the text from the webpage.

### 4.7.2 Extract headline

```r
header_web_page <- web_page %>%
  ## extract paragraphs
  rvest::html_nodes("h1") %>%
  ## extract text
  rvest::html_text()

headheader_web_page)
```

```r
## [1] "Tidyverse packages"
```
### 4.7.3 Extract text

```r
web_page_txt <- web_page %>%
  ## extract paragraphs
  rvest::html_nodes("p") %>%
  ## extract text
  rvest::html_text()

head(web_page_txt)
```

[1] "Install all the packages in the tidyverse by running install.packages("tidyverse")."

[2] "Run library(tidyverse) to load the core tidyverse and make it available\nin your current

[3] "Learn more about the tidyverse package at https://tidyverse.tidyverse.org."

[4] "The core tidyverse includes the packages that you're likely to use in everyday data analysis."

[5] "ggplot2 is a system for declaratively creating graphics, based on The Grammar of Graphics."

[6] "dplyr provides a grammar of data manipulation, providing a consistent set of verbs that can be composed and adapted to new tasks."

### 4.7.4 Create a corpus

```r
web_page_txt_corp <- corpus(web_page_txt)
print(web_page_txt_corp)
```

## Corpus consisting of 31 documents.

text1 :

## "Install all the packages in the tidyverse by running install..."

text2 :

## "Run library(tidyverse) to load the core tidyverse and make i..."

text3 :

## "Learn more about the tidyverse package at https://tidyverse...."

text4 :

## "The core tidyverse includes the packages that you're likely ..."

text5 :

## "ggplot2 is a system for declaratively creating graphics, bas..."

text6 :

## "dplyr provides a grammar of data manipulation, providing a c..."

## [ reached max_ndoc ... 25 more documents ]

#### 4.7.4.1 Summary

```r
summary(web_page_txt_corp, 10)
```
## Corpus consisting of 31 documents, showing 10 documents:

<table><thead><tr><th></th><th>Text</th><th>Types</th><th>Tokens</th><th>Sentences</th></tr></thead><tbody><tr><td>## text1</td><td>13</td><td>16</td><td></td><td>1</td></tr><tr><td>## text2</td><td>19</td><td>20</td><td></td><td>1</td></tr><tr><td>## text3</td><td>9</td><td>9</td><td></td><td>1</td></tr><tr><td>## text4</td><td>24</td><td>31</td><td></td><td>2</td></tr><tr><td>## text5</td><td>37</td><td>50</td><td></td><td>3</td></tr><tr><td>## text6</td><td>22</td><td>29</td><td></td><td>2</td></tr><tr><td>## text7</td><td>30</td><td>46</td><td></td><td>3</td></tr><tr><td>## text8</td><td>40</td><td>51</td><td></td><td>3</td></tr><tr><td>## text9</td><td>45</td><td>57</td><td></td><td>3</td></tr><tr><td>## text10</td><td>48</td><td>64</td><td></td><td>3</td></tr></tbody></table>

### 4.7.4.2 Accessing parts of corpus

web_page_txt_corpus[[4]]

## [1] "The core tidyverse includes the packages that you're likely to use in everyday

### 4.7.4.3 Document-level information

head(docvars(web_page_txt_corpus))

## data frame with 0 columns and 6 rows

## 4.7.5 Basic manipulations

By default, a corpus is created based on the "documents" (= lines). We can reshape it to show "sentences" or "paragraphs".

### 4.7.5.1 Sentences

web_page_txt_corpus_sent <- corpus_ reshape (web_page_txt_corpus, to = "sentences") web_page_txt_corpus_sent

#### 4.7.5.1.1 Transform

## Corpus consisting of 57 documents.

## text1.1 :

## "Install all the packages in the tidyverse by running install..."

##

## text2.1 :

## "Run library(tidyverse) to load the core tidyverse and make i..."

##

## text3.1 :
## "Learn more about the tidyverse package at https://tidyverse...."
##
## text4.1 :
## "The core tidyverse includes the packages that you're likely ..."
##
## text4.2 :
## "As of tidyverse 1.3.0, the following packages are included i..."
##
## text5.1 :
## "ggplot2 is a system for declaratively creating graphics, bas..."
##
## [ reached max_ndoc ... 51 more documents ]

summary(web_page_txt_corpus_sent)

4.7.5.1.2 Summary

## Corpus consisting of 57 documents, showing 57 documents:

<table><thead><tr><th></th><th>Text Types</th><th>Tokens</th><th>Sentences</th></tr></thead><tbody><tr><td>text1.1</td><td>13</td><td>16</td><td>1</td></tr><tr><td>text2.1</td><td>19</td><td>20</td><td>1</td></tr><tr><td>text3.1</td><td>9</td><td>9</td><td>1</td></tr><tr><td>text4.1</td><td>16</td><td>16</td><td>1</td></tr><tr><td>text4.2</td><td>13</td><td>15</td><td>1</td></tr><tr><td>text5.1</td><td>16</td><td>16</td><td>1</td></tr><tr><td>text5.2</td><td>23</td><td>28</td><td>1</td></tr><tr><td>text5.3</td><td>4</td><td>6</td><td>1</td></tr><tr><td>text6.1</td><td>19</td><td>23</td><td>1</td></tr><tr><td>text6.2</td><td>4</td><td>6</td><td>1</td></tr><tr><td>text7.1</td><td>14</td><td>14</td><td>1</td></tr><tr><td>text7.2</td><td>17</td><td>26</td><td>1</td></tr><tr><td>text7.3</td><td>4</td><td>6</td><td>1</td></tr><tr><td>text8.1</td><td>19</td><td>21</td><td>1</td></tr><tr><td>text8.2</td><td>23</td><td>24</td><td>1</td></tr><tr><td>text8.3</td><td>4</td><td>6</td><td>1</td></tr><tr><td>text9.1</td><td>24</td><td>25</td><td>1</td></tr><tr><td>text9.2</td><td>24</td><td>26</td><td>1</td></tr><tr><td>text9.3</td><td>4</td><td>6</td><td>1</td></tr><tr><td>text10.1</td><td>24</td><td>27</td><td>1</td></tr><tr><td>text10.2</td><td>26</td><td>31</td><td>1</td></tr><tr><td>text10.3</td><td>4</td><td>6</td><td>1</td></tr><tr><td>text11.1</td><td>17</td><td>18</td><td>1</td></tr><tr><td>text11.2</td><td>23</td><td>25</td><td>1</td></tr><tr><td>text11.3</td><td>4</td><td>6</td><td>1</td></tr></tbody></table>
<table><tr><td>text12.1</td><td>14</td><td>14</td><td>1</td></tr><tr><td>text12.2</td><td>19</td><td>20</td><td>1</td></tr><tr><td>text12.3</td><td>4</td><td>6</td><td>1</td></tr><tr><td>text13.1</td><td>20</td><td>21</td><td>1</td></tr><tr><td>text13.2</td><td>4</td><td>6</td><td>1</td></tr><tr><td>text14.1</td><td>12</td><td>12</td><td>1</td></tr><tr><td>text14.2</td><td>22</td><td>27</td><td>1</td></tr><tr><td>text15.1</td><td>20</td><td>23</td><td>1</td></tr><tr><td>text16.1</td><td>5</td><td>5</td><td>1</td></tr><tr><td>text16.2</td><td>7</td><td>7</td><td>1</td></tr><tr><td>text16.3</td><td>18</td><td>20</td><td>1</td></tr><tr><td>text16.4</td><td>5</td><td>5</td><td>1</td></tr><tr><td>text17.1</td><td>9</td><td>10</td><td>1</td></tr><tr><td>text18.1</td><td>5</td><td>5</td><td>1</td></tr><tr><td>text19.1</td><td>7</td><td>9</td><td>1</td></tr><tr><td>text20.1</td><td>9</td><td>10</td><td>1</td></tr><tr><td>text21.1</td><td>6</td><td>6</td><td>1</td></tr><tr><td>text22.1</td><td>5</td><td>5</td><td>1</td></tr><tr><td>text23.1</td><td>4</td><td>4</td><td>1</td></tr><tr><td>text23.2</td><td>7</td><td>7</td><td>1</td></tr><tr><td>text24.1</td><td>4</td><td>4</td><td>1</td></tr><tr><td>text25.1</td><td>33</td><td>39</td><td>1</td></tr><tr><td>text26.1</td><td>19</td><td>19</td><td>1</td></tr><tr><td>text27.1</td><td>30</td><td>31</td><td>1</td></tr><tr><td>text28.1</td><td>11</td><td>13</td><td>1</td></tr><tr><td>text28.2</td><td>26</td><td>29</td><td>1</td></tr><tr><td>text29.1</td><td>17</td><td>18</td><td>1</td></tr><tr><td>text30.1</td><td>19</td><td>21</td><td>1</td></tr><tr><td>text30.2</td><td>15</td><td>15</td><td>1</td></tr><tr><td>text30.3</td><td>17</td><td>19</td><td>1</td></tr><tr><td>text31.1</td><td>33</td><td>41</td><td>1</td></tr><tr><td>text31.2</td><td>21</td><td>23</td><td>1</td></tr></table>

### 4.7.5.1.3 Subset We can subset sentences with 10 or more words

web_page_txt_corpus_sent_long <- corpus_subset(web_page_txt_corpus_sent, ntoken(web_page_txt_corpus_sent_long)

## [1] 37

summary(web_page_txt_corpus_sent_long)

## Corpus consisting of 37 documents, showing 37 documents:

Text Types Tokens Sentences

text1.1 13 16 1

text2.1 19 20 1
<table><tr><td>text4.1</td><td>16</td><td>16</td><td>1</td></tr><tr><td>text4.2</td><td>13</td><td>15</td><td>1</td></tr><tr><td>text5.1</td><td>16</td><td>16</td><td>1</td></tr><tr><td>text5.2</td><td>23</td><td>28</td><td>1</td></tr><tr><td>text6.1</td><td>19</td><td>23</td><td>1</td></tr><tr><td>text7.1</td><td>14</td><td>14</td><td>1</td></tr><tr><td>text7.2</td><td>17</td><td>26</td><td>1</td></tr><tr><td>text8.1</td><td>19</td><td>21</td><td>1</td></tr><tr><td>text8.2</td><td>23</td><td>24</td><td>1</td></tr><tr><td>text9.1</td><td>24</td><td>25</td><td>1</td></tr><tr><td>text9.2</td><td>24</td><td>26</td><td>1</td></tr><tr><td>text10.1</td><td>24</td><td>27</td><td>1</td></tr><tr><td>text10.2</td><td>26</td><td>31</td><td>1</td></tr><tr><td>text11.1</td><td>17</td><td>18</td><td>1</td></tr><tr><td>text11.2</td><td>23</td><td>25</td><td>1</td></tr><tr><td>text12.1</td><td>14</td><td>14</td><td>1</td></tr><tr><td>text12.2</td><td>19</td><td>20</td><td>1</td></tr><tr><td>text13.1</td><td>20</td><td>21</td><td>1</td></tr><tr><td>text14.1</td><td>12</td><td>12</td><td>1</td></tr><tr><td>text14.2</td><td>22</td><td>27</td><td>1</td></tr><tr><td>text15.1</td><td>20</td><td>23</td><td>1</td></tr><tr><td>text16.3</td><td>18</td><td>20</td><td>1</td></tr><tr><td>text17.1</td><td>9</td><td>10</td><td>1</td></tr><tr><td>text20.1</td><td>9</td><td>10</td><td>1</td></tr><tr><td>text25.1</td><td>33</td><td>39</td><td>1</td></tr><tr><td>text26.1</td><td>19</td><td>19</td><td>1</td></tr><tr><td>text27.1</td><td>30</td><td>31</td><td>1</td></tr><tr><td>text28.1</td><td>11</td><td>13</td><td>1</td></tr><tr><td>text28.2</td><td>26</td><td>29</td><td>1</td></tr><tr><td>text29.1</td><td>17</td><td>18</td><td>1</td></tr><tr><td>text30.1</td><td>19</td><td>21</td><td>1</td></tr><tr><td>text30.2</td><td>15</td><td>15</td><td>1</td></tr><tr><td>text30.3</td><td>17</td><td>19</td><td>1</td></tr><tr><td>text31.1</td><td>33</td><td>41</td><td>1</td></tr><tr><td>text31.2</td><td>21</td><td>23</td><td>1</td></tr></table>

### 4.7.5.2 Paragraphs

```
web_page_txt_corpus para <- corpus_reshape(web_page_txt_corpus, to = "paragraphs")
web_page_txt_corpus para
```

#### 4.7.5.2.1 Transform

```
## Corpus consisting of 31 documents.
```

```
## text1 :
```

```
## "Install all the packages in the tidyverse by running install..."
```
<table><tr><td>text21</td><td>6</td><td>6</td><td>1</td></tr><tr><td>text22</td><td>5</td><td>5</td><td>1</td></tr><tr><td>text23</td><td>10</td><td>11</td><td>2</td></tr><tr><td>text24</td><td>4</td><td>4</td><td>1</td></tr><tr><td>text25</td><td>33</td><td>39</td><td>1</td></tr><tr><td>text26</td><td>19</td><td>19</td><td>1</td></tr><tr><td>text27</td><td>30</td><td>31</td><td>1</td></tr><tr><td>text28</td><td>34</td><td>42</td><td>2</td></tr><tr><td>text29</td><td>17</td><td>18</td><td>1</td></tr><tr><td>text30</td><td>44</td><td>55</td><td>3</td></tr><tr><td>text31</td><td>46</td><td>64</td><td>2</td></tr></table>

4.7.5.2.3 Subset We can subset sentences with 10 or more words

web_page_txt_corpus para long <- corpus subset(web_page_txt_corpus para, ntoken(web_page_txt_corp ndoc(web_page_txt_corpus para long)

[1] 25

summary(web_page_txt_corpus para long)

## Corpus consisting of 25 documents, showing 25 documents:

<table><thead><tr><th></th><th>Text</th><th>Types</th><th>Tokens</th><th>Sentences</th></tr></thead><tbody><tr><td>text1</td><td>13</td><td>16</td><td></td><td>1</td></tr><tr><td>text2</td><td>19</td><td>20</td><td></td><td>1</td></tr><tr><td>text4</td><td>24</td><td>31</td><td></td><td>2</td></tr><tr><td>text5</td><td>37</td><td>50</td><td></td><td>3</td></tr><tr><td>text6</td><td>22</td><td>29</td><td></td><td>2</td></tr><tr><td>text7</td><td>30</td><td>46</td><td></td><td>3</td></tr><tr><td>text8</td><td>40</td><td>51</td><td></td><td>3</td></tr><tr><td>text9</td><td>45</td><td>57</td><td></td><td>3</td></tr><tr><td>text10</td><td>48</td><td>64</td><td></td><td>3</td></tr><tr><td>text11</td><td>39</td><td>49</td><td></td><td>3</td></tr><tr><td>text12</td><td>30</td><td>40</td><td></td><td>3</td></tr><tr><td>text13</td><td>23</td><td>27</td><td></td><td>2</td></tr><tr><td>text14</td><td>31</td><td>39</td><td></td><td>2</td></tr><tr><td>text15</td><td>20</td><td>23</td><td></td><td>1</td></tr><tr><td>text16</td><td>31</td><td>37</td><td></td><td>4</td></tr><tr><td>text17</td><td>9</td><td>10</td><td></td><td>1</td></tr><tr><td>text20</td><td>9</td><td>10</td><td></td><td>1</td></tr><tr><td>text23</td><td>10</td><td>11</td><td></td><td>2</td></tr><tr><td>text25</td><td>33</td><td>39</td><td></td><td>1</td></tr><tr><td>text26</td><td>19</td><td>19</td><td></td><td>1</td></tr><tr><td>text27</td><td>30</td><td>31</td><td></td><td>1</td></tr><tr><td>text28</td><td>34</td><td>42</td><td></td><td>2</td></tr><tr><td>text29</td><td>17</td><td>18</td><td></td><td>1</td></tr></tbody></table>
<table><tr><td>## text30</td><td>44</td><td>55</td><td>3</td></tr><tr><td>## text31</td><td>46</td><td>64</td><td>2</td></tr></table>

### 4.7.5.3 Tokens

`tokens()` segments texts in a corpus into tokens (words or sentences) by word boundaries. We can remove punctuations or not

```
web_page_txt_corpus tok <- tokens(web_page_txt_corpus)
web_page_txt_corpus tok
```

#### 4.7.5.3.1 With punctuations

```r
## Tokens consisting of 31 documents.
## text1 :
## [1] "Install" "all" "the" "packages"
## [5] "in" "the" "tidyverse" "by"
## [9] "running" "install/packages" "(" "\"
## [ ... and 4 more ]
##
## text2 :
## [1] "Run" "library" "(" "tidyverse" ")" "to"
## [7] "load" "the" "core" "tidyverse" "and" "make"
## [ ... and 8 more ]
##
## text3 :
## [1] "Learn" "more"
## [3] "about" "the"
## [5] "tidyverse" "package"
## [7] "at" "https://tidyverse.tidyverse.org"
## [9] "."
##
## text4 :
## [1] "The" "core" "tidyverse" "includes" "the" "packages"
## [7] "that" "you're" "likely" "to" "use" "in"
## [ ... and 19 more ]
##
## text5 :
## [1] "ggplot2" "is" "a" "system"
## [5] "for" "declaratively" "creating" "graphics"
## [9] "," "based" "on" "The"
## [ ... and 38 more ]
##
## text6 :
## [1] "dplyr" "provides" "a" "grammar" "of"
## [6] "data" "manipulation" "," "providing" "a"
```
## [11] "consistent" "set"
## [ ... and 17 more ]
##
## [ reached max_ndoc ... 25 more documents ]

web_page_txt_corpus_tokens <- tokens(web_page_txt_corpus, remove_punct = TRUE)
web_page_txt_corpus_tokens

4.7.5.3.2 Without punctuations

## Tokens consisting of 31 documents.

text1 :

## [1] "Install" "all" "the" "packages"
## [5] "in" "the" "tidyverse" "by"
## [9] "running" "install.packages" "tidyverse"
##

text2 :

## [1] "Run" "library" "tidyverse" "to" "load" "the"
## [7] "core" "tidyverse" "and" "make" "it" "available"
## [ ... and 5 more ]
##

text3 :

text4 :

## [1] "Learn" "more"
## [3] "about" "the"
## [5] "tidyverse" "package"
## [7] "at" "https://tidyverse.tidyverse.org"
##

text5 :

## [1] "The" "core" "tidyverse" "includes" "the" "packages"
## [7] "that" "you're" "likely" "to" "use" "in"
## [ ... and 16 more ]
##

text6 :

## [1] "dplyr" "provides" "a" "grammar" "of"
## [6] "data" "manipulation" "providing" "a" "consistent"
## [11] "set" "of"
## [ ... and 12 more ]
##
## [ reached max_ndoc ... 25 more documents ]
4.7.5.4 Types

We can also generate types on the tokenised corpus (without punctuations)

web_page_txt_corpus_tokens_no_punct_types <- types(web_page_txt_corpus_tokens_no_punct)
web_page_txt_corpus_tokens_no_punct_types

<table>
  <tr>
    <td>##</td>
    <td>[1] "Install"</td>
    <td>"all"</td>
  </tr>
  <tr>
    <td>##</td>
    <td>[3] "the"</td>
    <td>"packages"</td>
  </tr>
  <tr>
    <td>##</td>
    <td>[5] "in"</td>
    <td>"tidyverse"</td>
  </tr>
  <tr>
    <td>##</td>
    <td>[7] "by"</td>
    <td>"running"</td>
  </tr>
  <tr>
    <td>##</td>
    <td>[9] "install/packages"</td>
    <td>"Run"</td>
  </tr>
  <tr>
    <td>##</td>
    <td>[11] "library"</td>
    <td>"to"</td>
  </tr>
  <tr>
    <td>##</td>
    <td>[13] "load"</td>
    <td>"core"</td>
  </tr>
  <tr>
    <td>##</td>
    <td>[15] "and"</td>
    <td>"make"</td>
  </tr>
  <tr>
    <td>##</td>
    <td>[17] "it"</td>
    <td>"available"</td>
  </tr>
  <tr>
    <td>##</td>
    <td>[19] "your"</td>
    <td>"current"</td>
  </tr>
  <tr>
    <td>##</td>
    <td>[21] "R"</td>
    <td>"session"</td>
  </tr>
  <tr>
    <td>##</td>
    <td>[23] "Learn"</td>
    <td>"more"</td>
  </tr>
  <tr>
    <td>##</td>
    <td>[25] "about"</td>
    <td>"package"</td>
  </tr>
  <tr>
    <td>##</td>
    <td>[27] "at"</td>
    <td>"https://tidyverse.tidyverse.org"</td>
  </tr>
  <tr>
    <td>##</td>
    <td>[29] "The"</td>
    <td>"includes"</td>
  </tr>
  <tr>
    <td>##</td>
    <td>[31] "that"</td>
    <td>"you're"</td>
  </tr>
  <tr>
    <td>##</td>
    <td>[33] "likely"</td>
    <td>"use"</td>
  </tr>
  <tr>
    <td>##</td>
    <td>[35] "everyday"</td>
    <td>"data"</td>
  </tr>
  <tr>
    <td>##</td>
    <td>[37] "analyses"</td>
    <td>"As"</td>
  </tr>
  <tr>
    <td>##</td>
    <td>[39] "of"</td>
    <td>"1.3.0"</td>
  </tr>
  <tr>
    <td>##</td>
    <td>[41] "following"</td>
    <td>"are"</td>
  </tr>
  <tr>
    <td>##</td>
    <td>[43] "included"</td>
    <td>"ggplot2"</td>
  </tr>
  <tr>
    <td>##</td>
    <td>[45] "is"</td>
    <td>"a"</td>
  </tr>
  <tr>
    <td>##</td>
    <td>[47] "system"</td>
    <td>"for"</td>
  </tr>
  <tr>
    <td>##</td>
    <td>[49] "declaratively"</td>
    <td>"creating"</td>
  </tr>
  <tr>
    <td>##</td>
    <td>[51] "graphics"</td>
    <td>"based"</td>
  </tr>
  <tr>
    <td>##</td>
    <td>[53] "on"</td>
    <td>"Grammar"</td>
  </tr>
  <tr>
    <td>##</td>
    <td>[55] "Graphics"</td>
    <td>"You"</td>
  </tr>
  <tr>
    <td>##</td>
    <td>[57] "provide"</td>
    <td>"tell"</td>
  </tr>
  <tr>
    <td>##</td>
    <td>[59] "how"</td>
    <td>"map"</td>
  </tr>
  <tr>
    <td>##</td>
    <td>[61] "variables"</td>
    <td>"aesthetics"</td>
  </tr>
  <tr>
    <td>##</td>
    <td>[63] "what"</td>
    <td>"graphical"</td>
  </tr>
  <tr>
    <td>##</td>
    <td>[65] "primitives"</td>
    <td>"takes"</td>
  </tr>
  <tr>
    <td>##</td>
    <td>[67] "care"</td>
    <td>"details"</td>
  </tr>
  <tr>
    <td>##</td>
    <td>[69] "Go"</td>
    <td>"docs"</td>
  </tr>
  <tr>
    <td>##</td>
    <td>[71] "dplyr"</td>
    <td>"provides"</td>
  </tr>
  <tr>
    <td>##</td>
    <td>[73] "grammar"</td>
    <td>"manipulation"</td>
  </tr>
  <tr>
    <td>##</td>
    <td>[75] "providing"</td>
    <td>"consistent"</td>
  </tr>
  <tr>
    <td>##</td>
    <td>[77] "set"</td>
    <td>"verbs"</td>
  </tr>
  <tr>
    <td>##</td>
    <td>[79] "solve"</td>
    <td>"most"</td>
  </tr>
</table>
<table><tr><td>[81]</td><td>"common"</td></tr><tr><td>[83]</td><td>"tidyr"</td></tr><tr><td>[85]</td><td>"help"</td></tr><tr><td>[87]</td><td>"get"</td></tr><tr><td>[89]</td><td>"Tidy"</td></tr><tr><td>[91]</td><td>"form"</td></tr><tr><td>[93]</td><td>"every"</td></tr><tr><td>[95]</td><td>"goes"</td></tr><tr><td>[97]</td><td>"readr"</td></tr><tr><td>[99]</td><td>"friendly"</td></tr><tr><td>[101]</td><td>"read"</td></tr><tr><td>[103]</td><td>"like"</td></tr><tr><td>[105]</td><td>"tsv"</td></tr><tr><td>[107]</td><td>"It"</td></tr><tr><td>[109]</td><td>"flexibly"</td></tr><tr><td>[111]</td><td>"many"</td></tr><tr><td>[113]</td><td>"found"</td></tr><tr><td>[115]</td><td>"while"</td></tr><tr><td>[117]</td><td>"cleanly"</td></tr><tr><td>[119]</td><td>"when"</td></tr><tr><td>[121]</td><td>"changes"</td></tr><tr><td>[123]</td><td>"enhances"</td></tr><tr><td>[125]</td><td>"functional"</td></tr><tr><td>[127]</td><td>"FP"</td></tr><tr><td>[129]</td><td>"complete"</td></tr><tr><td>[131]</td><td>"working"</td></tr><tr><td>[133]</td><td>"Once"</td></tr><tr><td>[135]</td><td>"basic"</td></tr><tr><td>[137]</td><td>"allows"</td></tr><tr><td>[139]</td><td>"loops"</td></tr><tr><td>[141]</td><td>"easier"</td></tr><tr><td>[143]</td><td>"expressive"</td></tr><tr><td>[145]</td><td>"modern"</td></tr><tr><td>[147]</td><td>"frame"</td></tr><tr><td>[149]</td><td>"time"</td></tr><tr><td>[151]</td><td>"proven"</td></tr><tr><td>[153]</td><td>"effective"</td></tr><tr><td>[155]</td><td>"out"</td></tr><tr><td>[157]</td><td>"Tibbles"</td></tr><tr><td>[159]</td><td>"lazy"</td></tr><tr><td>[161]</td><td>"they"</td></tr><tr><td>[163]</td><td>"less"</td></tr><tr><td>[165]</td><td>"forcing"</td></tr><tr><td>[167]</td><td>"problems"</td></tr><tr><td>[169]</td><td>"typically"</td></tr><tr><td>[171]</td><td>"cleaner"</td></tr></table>

<table><tr><td>"challenges"</td></tr><tr><td>"functions"</td></tr><tr><td>"you"</td></tr><tr><td>"tidy"</td></tr><tr><td>"with"</td></tr><tr><td>"brief"</td></tr><tr><td>"variable"</td></tr><tr><td>"column"</td></tr><tr><td>"fast"</td></tr><tr><td>"way"</td></tr><tr><td>"rectangular"</td></tr><tr><td>"csv"</td></tr><tr><td>"fwf"</td></tr><tr><td>"designed"</td></tr><tr><td>"parse"</td></tr><tr><td>"types"</td></tr><tr><td>"wild"</td></tr><tr><td>"still"</td></tr><tr><td>"failing"</td></tr><tr><td>"unexpectedly"</td></tr><tr><td>"purrr"</td></tr><tr><td>"R's"</td></tr><tr><td>"programming"</td></tr><tr><td>"toolkit"</td></tr><tr><td>"tools"</td></tr><tr><td>"vectors"</td></tr><tr><td>"master"</td></tr><tr><td>"concepts"</td></tr><tr><td>"replace"</td></tr><tr><td>"code"</td></tr><tr><td>"write"</td></tr><tr><td>"tibble"</td></tr><tr><td>"re-imagining"</td></tr><tr><td>"keeping"</td></tr><tr><td>"has"</td></tr><tr><td>"be"</td></tr><tr><td>"throwing"</td></tr><tr><td>"not"</td></tr><tr><td>"data frases"</td></tr><tr><td>"surly"</td></tr><tr><td>"do"</td></tr><tr><td>"complain"</td></tr><tr><td>"confront"</td></tr><tr><td>"earlier"</td></tr><tr><td>"leading"</td></tr><tr><td>"stringr"</td></tr></table>
<table>
  <tr>
    <td>[173]</td>
    <td>"cohesive"</td>
    <td>"strings"</td>
  </tr>
  <tr>
    <td>[175]</td>
    <td>"as"</td>
    <td>"easy"</td>
  </tr>
  <tr>
    <td>[177]</td>
    <td>"possible"</td>
    <td>"built"</td>
  </tr>
  <tr>
    <td>[179]</td>
    <td>"top"</td>
    <td>"stringi"</td>
  </tr>
  <tr>
    <td>[181]</td>
    <td>"which"</td>
    <td>"uses"</td>
  </tr>
  <tr>
    <td>[183]</td>
    <td>"ICU"</td>
    <td>"C"</td>
  </tr>
  <tr>
    <td>[185]</td>
    <td>"correct"</td>
    <td>"implementations"</td>
  </tr>
  <tr>
    <td>[187]</td>
    <td>"string"</td>
    <td>"manipulations"</td>
  </tr>
  <tr>
    <td>[189]</td>
    <td>"forcats"</td>
    <td>"suite"</td>
  </tr>
  <tr>
    <td>[191]</td>
    <td>"useful"</td>
    <td>"factors"</td>
  </tr>
  <tr>
    <td>[193]</td>
    <td>"handle"</td>
    <td>"categorical"</td>
  </tr>
  <tr>
    <td>[195]</td>
    <td>"have"</td>
    <td>"fixed"</td>
  </tr>
  <tr>
    <td>[197]</td>
    <td>"known"</td>
    <td>"values"</td>
  </tr>
  <tr>
    <td>[199]</td>
    <td>"lubridate"</td>
    <td>"date-times"</td>
  </tr>
  <tr>
    <td>[201]</td>
    <td>"extending"</td>
    <td>"improving"</td>
  </tr>
  <tr>
    <td>[203]</td>
    <td>"R's"</td>
    <td>"existing"</td>
  </tr>
  <tr>
    <td>[205]</td>
    <td>"support"</td>
    <td>"them"</td>
  </tr>
  <tr>
    <td>[207]</td>
    <td>"also"</td>
    <td>"other"</td>
  </tr>
  <tr>
    <td>[209]</td>
    <td>"specialised"</td>
    <td>"usage"</td>
  </tr>
  <tr>
    <td>[211]</td>
    <td>"They"</td>
    <td>"loaded"</td>
  </tr>
  <tr>
    <td>[213]</td>
    <td>"automatically"</td>
    <td>"so"</td>
  </tr>
  <tr>
    <td>[215]</td>
    <td>"you'll"</td>
    <td>"need"</td>
  </tr>
  <tr>
    <td>[217]</td>
    <td>"each"</td>
    <td>"one"</td>
  </tr>
  <tr>
    <td>[219]</td>
    <td>"its"</td>
    <td>"own"</td>
  </tr>
  <tr>
    <td>[221]</td>
    <td>"call"</td>
    <td>"well"</td>
  </tr>
  <tr>
    <td>[223]</td>
    <td>"reading"</td>
    <td>"flat"</td>
  </tr>
  <tr>
    <td>[225]</td>
    <td>"files"</td>
    <td>"installs"</td>
  </tr>
  <tr>
    <td>[227]</td>
    <td>"number"</td>
    <td>"DBI"</td>
  </tr>
  <tr>
    <td>[229]</td>
    <td>"relational"</td>
    <td>"databases"</td>
  </tr>
  <tr>
    <td>[231]</td>
    <td>"Maintained"</td>
    <td>"Kirill"</td>
  </tr>
  <tr>
    <td>[233]</td>
    <td>"Müller"</td>
    <td>"You'll"</td>
  </tr>
  <tr>
    <td>[235]</td>
    <td>"pair"</td>
    <td>"database"</td>
  </tr>
  <tr>
    <td>[237]</td>
    <td>"specific"</td>
    <td>"backends"</td>
  </tr>
  <tr>
    <td>[239]</td>
    <td>"RSQLite"</td>
    <td>"RMariaDB"</td>
  </tr>
  <tr>
    <td>[241]</td>
    <td>"RPostgres"</td>
    <td>"or"</td>
  </tr>
  <tr>
    <td>[243]</td>
    <td>"odbc"</td>
    <td>"https://db.rstudio.com"</td>
  </tr>
  <tr>
    <td>[245]</td>
    <td>"haven"</td>
    <td>"SPSS"</td>
  </tr>
  <tr>
    <td>[247]</td>
    <td>"Stata"</td>
    <td>"SAS"</td>
  </tr>
  <tr>
    <td>[249]</td>
    <td>"httr"</td>
    <td>"web"</td>
  </tr>
  <tr>
    <td>[251]</td>
    <td>"APIs"</td>
    <td>"readxl"</td>
  </tr>
  <tr>
    <td>[253]</td>
    <td>"xls"</td>
    <td>"xlsex"</td>
  </tr>
  <tr>
    <td>[255]</td>
    <td>"sheets"</td>
    <td>"googlesheets4"</td>
  </tr>
  <tr>
    <td>[257]</td>
    <td>"Google"</td>
    <td>"Sheets"</td>
  </tr>
  <tr>
    <td>[259]</td>
    <td>"via"</td>
    <td>"API"</td>
  </tr>
  <tr>
    <td>[261]</td>
    <td>"v4"</td>
    <td>"googledrive"</td>
  </tr>
  <tr>
    <td>[263]</td>
    <td>"Drive"</td>
    <td>"rvest"</td>
  </tr>
</table>
<table>
  <tr>
    <td>[265]</td>
    <td>"scraping"</td>
  </tr>
  <tr>
    <td>[267]</td>
    <td>"JSON"</td>
  </tr>
  <tr>
    <td>[269]</td>
    <td>"Ooms"</td>
  </tr>
  <tr>
    <td>[271]</td>
    <td>"XML"</td>
  </tr>
  <tr>
    <td>[273]</td>
    <td>"addition"</td>
  </tr>
  <tr>
    <td>[275]</td>
    <td>"specialized"</td>
  </tr>
  <tr>
    <td>[277]</td>
    <td>"there"</td>
  </tr>
  <tr>
    <td>[279]</td>
    <td>"others"</td>
  </tr>
  <tr>
    <td>[281]</td>
    <td>"There"</td>
  </tr>
  <tr>
    <td>[283]</td>
    <td>"interface"</td>
  </tr>
  <tr>
    <td>[285]</td>
    <td>"using"</td>
  </tr>
  <tr>
    <td>[287]</td>
    <td>"syntax"</td>
  </tr>
  <tr>
    <td>[289]</td>
    <td>"natural"</td>
  </tr>
  <tr>
    <td>[291]</td>
    <td>"iterating"</td>
  </tr>
  <tr>
    <td>[293]</td>
    <td>"additional"</td>
  </tr>
  <tr>
    <td>[295]</td>
    <td>"magrittr"</td>
  </tr>
  <tr>
    <td>[297]</td>
    <td>"></td>
  </tr>
  <tr>
    <td>[299]</td>
    <td>"throughout"</td>
  </tr>
  <tr>
    <td>[301]</td>
    <td>"operators"</td>
  </tr>
  <tr>
    <td>[303]</td>
    <td>&lt;</td>
  </tr>
  <tr>
    <td>[305]</td>
    <td>"places"</td>
  </tr>
  <tr>
    <td>[307]</td>
    <td>"an"</td>
  </tr>
  <tr>
    <td>[309]</td>
    <td>"paste"</td>
  </tr>
  <tr>
    <td>[311]</td>
    <td>"combine"</td>
  </tr>
  <tr>
    <td>[313]</td>
    <td>"collection"</td>
  </tr>
  <tr>
    <td>[315]</td>
    <td>"largely"</td>
  </tr>
  <tr>
    <td>[317]</td>
    <td>"R4DS"</td>
  </tr>
  <tr>
    <td>[319]</td>
    <td>"comprehensive"</td>
  </tr>
  <tr>
    <td>[321]</td>
    <td>"models"</td>
  </tr>
  <tr>
    <td>[323]</td>
    <td>"Getting"</td>
  </tr>
  <tr>
    <td>[325]</td>
    <td>"guide"</td>
  </tr>
  <tr>
    <td>[327]</td>
    <td>"examples"</td>
  </tr>
  <tr>
    <td>[329]</td>
    <td>"straight"</td>
  </tr>
  <tr>
    <td>[331]</td>
    <td>"If"</td>
  </tr>
  <tr>
    <td>[333]</td>
    <td>"reporting"</td>
  </tr>
  <tr>
    <td>[335]</td>
    <td>"requesting"</td>
  </tr>
  <tr>
    <td>[337]</td>
    <td>"feature"</td>
  </tr>
  <tr>
    <td>[339]</td>
    <td>"if"</td>
  </tr>
  <tr>
    <td>[341]</td>
    <td>"good"</td>
  </tr>
  <tr>
    <td>[343]</td>
    <td>"example"</td>
  </tr>
  <tr>
    <td>[345]</td>
    <td>"reprex"</td>
  </tr>
  <tr>
    <td>[347]</td>
    <td>"learn"</td>
  </tr>
  <tr>
    <td>[349]</td>
    <td>"tips"</td>
  </tr>
</table>

<table>
  <tr>
    <td>"jsonlite"</td>
  </tr>
  <tr>
    <td>"Jeroen"</td>
  </tr>
  <tr>
    <td>"xml2"</td>
  </tr>
  <tr>
    <td>"In"</td>
  </tr>
  <tr>
    <td>"three"</td>
  </tr>
  <tr>
    <td>"already"</td>
  </tr>
  <tr>
    <td>"two"</td>
  </tr>
  <tr>
    <td>"work"</td>
  </tr>
  <tr>
    <td>"allow"</td>
  </tr>
  <tr>
    <td>"different"</td>
  </tr>
  <tr>
    <td>"same"</td>
  </tr>
  <tr>
    <td>"very"</td>
  </tr>
  <tr>
    <td>"methods"</td>
  </tr>
  <tr>
    <td>"objects"</td>
  </tr>
  <tr>
    <td>"general"</td>
  </tr>
  <tr>
    <td>"pipe"</td>
  </tr>
  <tr>
    <td>"used"</td>
  </tr>
  <tr>
    <td>"piping"</td>
  </tr>
  <tr>
    <td>"$"</td>
  </tr>
  <tr>
    <td>"can"</td>
  </tr>
  <tr>
    <td>"glue"</td>
  </tr>
  <tr>
    <td>"alternative"</td>
  </tr>
  <tr>
    <td>"makes"</td>
  </tr>
  <tr>
    <td>"Modeling"</td>
  </tr>
  <tr>
    <td>"tidymodels"</td>
  </tr>
  <tr>
    <td>"modelr"</td>
  </tr>
  <tr>
    <td>"These"</td>
  </tr>
  <tr>
    <td>"foundation"</td>
  </tr>
  <tr>
    <td>"Visit"</td>
  </tr>
  <tr>
    <td>"Started"</td>
  </tr>
  <tr>
    <td>"detailed"</td>
  </tr>
  <tr>
    <td>"go"</td>
  </tr>
  <tr>
    <td>"page"</td>
  </tr>
  <tr>
    <td>"asking"</td>
  </tr>
  <tr>
    <td>"bug"</td>
  </tr>
  <tr>
    <td>"new"</td>
  </tr>
  <tr>
    <td>"succeed"</td>
  </tr>
  <tr>
    <td>"include"</td>
  </tr>
  <tr>
    <td>"reproducible"</td>
  </tr>
  <tr>
    <td>"precisely"</td>
  </tr>
  <tr>
    <td>"meant"</td>
  </tr>
  <tr>
    <td>"along"</td>
  </tr>
  <tr>
    <td>"section"</td>
  </tr>
</table>
4.7.5.5 Keyword-in-contexts (kwic)

4.7.5.5.1 Pattern You can see how keywords are used in the actual contexts
in a concordance view produced by kwic(). Pattern is used to search for the
pattern we are interested in (with * as a wildcard). Window used to display
number of words/tokens around it.

web_page_txt_corpus tok_no_punct_types tidy <- kwic(web_page_txt_corpus tok_no_punct, head(web_page_txt_corpus tok_no_punct_types tidy, 10))

## Keyword-in-context with 10 matches.

## [text1, 7] Install all the packages in the | tidyverse |
## [text1, 11] in the tidyverse by running install.packages | tidyverse |
## [text2, 3] Run library | tidyverse |
## [text2, 8] library tidyverse to load the core | tidyverse |
## [text3, 5] Learn more about the | tidyverse |
## [text4, 3] The core | tidyverse |
## [text4, 18] in everyday data analyses As of | tidyverse |
## [text4, 28] packages are included in the core | tidyverse |
## [text7, 1] | tidyr |
## [text7, 12] functions that help you get to | tidy |
##
## by running install.packages tidyverse
##
## to load the core tidyverse and
## and make it available in your
## package at https://tidverse.tidyverse.org
## includes the packages that you're likely
## 1.3.0 the following packages are included
##
## provides a set of functions that
## data Tidy data is data with

web_page_txt_corpus tok_no_punct_phrase <- kwic(web_page_txt_corpus tok_no_punct, head(web_page_txt_corpus tok_no_punct_phrase, 10))

4.7.5.5.2 Phrase

## Keyword-in-context with 6 matches.

## [text1, 6:7] Install all the packages in | the tidyverse |
## [text3, 4:5] Learn more about | the tidyverse |
## [text14, 1:2] The tidyverse |
## [text15, 9:10] as readr for reading flat files | the tidyverse |
## [text28, 8:9] provides the pipe > used throughout | the tidyverse |
## [text30, 3:4] Modeling with | the tidyverse |
##
##
## [ reached max_ndoc ... 25 more documents ]

4.7.5.7 wordstem

To be able to extract the stems of each of the given words, we use the function
`tokens_wordstem`, `char_wordstem` or `dfm_wordstem`

web_page_txt_corpus tok_no_punct_no_STOP_stem <- tokens_wordstem(web_page_txt_corpus_t

4.7.5.7.1 tokens_wordstem

## Tokens consisting of 31 documents.
## text1 :
## [1] "Install" "packag" "tidyvers" "run"
## [5] "install.packag" "tidyvers"
##
## text2 :
## [1] "librari" "tidyvers" "load" "core" "tidyvers" "current" "session"
##
## text3 :
## [1] "Learn" "tidyvers"
## [3] "packag" "https://tidyverse.tidyverse.org"
##
## text4 :
## [1] "core" "tidyvers" "includ" "packag" "you'r" "everyday"
## [7] "data" "analys" "tidyvers" "1.3.0" "packag" "includ"
## [ ... and 2 more ]
##
## text5 :
## [1] "ggplot2" "declar" "creat" "graphic" "base" "Grammar" "Graphic"
## [8] "provid" "data" "ggplot2" "map" "variabl"
## [ ... and 7 more ]
##
## text6 :
## [1] "dplyr" "grammar" "data" "manipul" "provid" "consist" "set"
## [8] "verb" "solv" "common" "data" "manipul"
## [ ... and 2 more ]
##
## [ reached max_ndoc ... 25 more documents ]

4.7.5.7.2 dfm_wordstem Here we can use the dfm (for Document Feature
Matrix) to obtain details of the wordstems used in each of the texts
web_page_txt_corpus tok_no_punct_no_STOP_stem_dfm <- dfm(web_page_txt_corpus tok_no_punct_no_STOP_stem_dfm dfm_wordstem(web_page_txt_corpus tok_no_punct_no_STOP_stem_dfm)

## Document-feature matrix of: 31 documents, 204 features (95.13% sparse) and 0 docvars.

## features

## docs instal packag tidyvers run install.packag librari load core current

<table><tr><td>text1</td><td>1</td><td>1</td><td>2</td><td>1</td><td>1</td><td>0</td><td>0</td><td>0</td><td>0</td></tr><tr><td>text2</td><td>0</td><td>0</td><td>2</td><td>0</td><td>0</td><td>1</td><td>1</td><td>1</td><td>1</td></tr><tr><td>text3</td><td>0</td><td>1</td><td>1</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td></tr><tr><td>text4</td><td>0</td><td>2</td><td>3</td><td>0</td><td>0</td><td>0</td><td>0</td><td>2</td><td>0</td></tr><tr><td>text5</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td></tr><tr><td>text6</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td></tr></table>

## features

## docs session

<table><tr><td>text1</td><td>0</td></tr><tr><td>text2</td><td>1</td></tr><tr><td>text3</td><td>0</td></tr><tr><td>text4</td><td>0</td></tr><tr><td>text5</td><td>0</td></tr><tr><td>text6</td><td>0</td></tr></table>

[ reached max_ndoc ... 25 more documents, reached max_nfeat ... 194 more features ]

## 4.8 Multiple webpages

### 4.8.1 Read_html

```r
website <- "https://www.tidyverse.org/packages/" %>%
  rvest::read_html()
website
```

```r
## {html_document}
```

```r
## <html>
```

```r
## [1] <head>\n<meta http-equiv="Content-Type" content="text/html; charset=UTF-8 ...
```

```r
## [2] <body>\n<div id="appTidyverseSite" class="shrinkHeader alwaysShrinkHeader ...
```

```r
a_elements <- website %>%
  rvest::html_elements/css = "div/package > a")
a_elements
```

```r
## {xml_nodeset (9)}
```

```r
## [1] <a href="https://ggplot2.tidyverse.org/" target="_blank"><img class="pack ...
## [2] <a href="https://dplyr.tidyverse.org/" target="_blank"><img class="packag ...
## [3] <a href="https://tidyr.tidyverse.org/" target="_blank"><img class="packag ...
## [4] <a href="https://readr.tidyverse.org/" target="_blank"><img class="packag ...
## [5] <a href="https://purrr.tidyverse.org/" target="_blank"><img class="packag ...
## [6] <a href="https://tibble.tidyverse.org/" target="_blank"><img class="packa ...
```
## [7] <a href="https://stringr.tidyverse.org/" target="_blank"><img class="pack" src="" alt="" /></a>

## [8] <a href="https://forcats.tidyverse.org/" target="_blank"><img class="pack" src="" alt="" /></a>

## [9] <a href="https://lubridate.tidyverse.org/" target="_blank"><img class="pa" src="" alt="" /></a>

### 4.8.2 Extract headline

links <- a_elements %>%
rvest::html_attr(name = "href")
links

## [1] "https://ggplot2.tidyverse.org/" "https://dplyr.tidyverse.org/"

## [3] "https://tidyr.tidyverse.org/" "https://readr.tidyverse.org/"

## [5] "https://purrr.tidyverse.org/" "https://tibble.tidyverse.org/"

## [7] "https://stringr.tidyverse.org/" "https://forcats.tidyverse.org/"

## [9] "https://lubridate.tidyverse.org/"

### 4.8.3 Extract subpages

pages <- links %>%
  map(rvest::read_html)
pages

## [[1]]
## {html_document}
## <html lang="en">
## [1] <head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8" ...>
## [2] <body><a href="#container" class="visually-hidden-focusable">Skip t ...</a>

## [[2]]
## {html_document}
## <html lang="en">
## [1] <head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8" ...>
## [2] <body><a href="#container" class="visually-hidden-focusable">Skip t ...</a>

## [[3]]
## {html_document}
## <html lang="en">
## [1] <head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8" ...>
## [2] <body><a href="#container" class="visually-hidden-focusable">Skip t ...</a>

## [[4]]
## {html_document}
## <html lang="en">
## [1] <head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8" ...>
## [2] <body><a href="#container" class="visually-hidden-focusable">Skip t ...</a>
## [[5]]
## {html_document}
## <html lang="en">
## [1] <head>
<meta http-equiv="Content-Type" content="text/html; charset=UTF-8"/>
## [2] <body>
<a href="#container" class="visually-hidden-focusable">Skip t</a>
##
## [[6]]
## {html_document}
## <html lang="en">
## [1] <head>
<meta http-equiv="Content-Type" content="text/html; charset=UTF-8"/>
## [2] <body>
<a href="#container" class="visually-hidden-focusable">Skip t</a>
##
## [[7]]
## {html_document}
## <html lang="en">
## [1] <head>
<meta http-equiv="Content-Type" content="text/html; charset=UTF-8"/>
## [2] <body>
<a href="#container" class="visually-hidden-focusable">Skip t</a>
##
## [[8]]
## {html_document}
## <html lang="en">
## [1] <head>
<meta http-equiv="Content-Type" content="text/html; charset=UTF-8"/>
## [2] <body>
<a href="#container" class="visually-hidden-focusable">Skip t</a>
##
## [[9]]
## {html_document}
## <html lang="en">
## [1] <head>
<meta http-equiv="Content-Type" content="text/html; charset=UTF-8"/>
## [2] <body>
<a href="#container" class="visually-hidden-focusable">Skip t</a>
##

The structure seems to be similar across all pages

pages %>%
map(rvest::html_element, css = "a.navbar-brand") %>%
map Ch(rvest::html_text)

## [1] "ggplot2" "dplyr" "tidyr" "readr" "purrr" "tibble"
## [7] "stringr" "forcats" "lubridate"

and extracting version number

pages %>%
map(rvest::html_element, css = "small.nav-text.text-muted.me-auto") %>%
map Ch(rvest::html_text)

## [1] "4.0.1" "1.1.4" "1.3.1" "2.1.6" "1.2.0" "3.3.0" "1.6.0" "1.0.1" "1.9.4"

and we can also add all into a tibble
4.8.4 Extract text

pages_table <- tibble(
  name = pages %>
  map(rvest::html_element, css = "a.navbar-brand") %>
  map Ch(rvest::html_text),
  version = pages %>
  map(rvest::html_element, css = "small.nav-text.text-muted.me-auto") %>
  map Ch(rvest::html_text),
  CRAN = pages %>
  map(rvest::html_element, css = "ul.list-unstyled > li nth-child(1) > a") %>
  map Ch(rvest::html_attr, name = "href"),
  Learn = pages %>
  map(rvest::html_element, css = "ul.list-unstyled > li nth-child(4) > a") %>
  map Ch(rvest::html_attr, name = "href"),
  text = pages %>
  map(rvest::html_element, css = "body") %>
  map Ch(rvest::html_text2)
)

pages_table

## # A tibble: 9 x 5

<table>
  <thead>
    <tr>
      <th>name</th>
      <th>version</th>
      <th>CRAN</th>
      <th>Learn</th>
      <th>text</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <td>&lt;chr&gt;</td>
      <td>&lt;chr&gt;</td>
      <td>&lt;chr&gt;</td>
      <td>&lt;chr&gt;</td>
      <td>&lt;chr&gt;</td>
    </tr>
    <tr>
      <td>1</td>
      <td>4.0.1</td>
      <td>https://cloud.r-project.org/package=ggplot2</td>
      <td>https://</td>
      <td>~ "Ski~</td>
    </tr>
    <tr>
      <td>2</td>
      <td>1.1.4</td>
      <td>https://cloud.r-project.org/package=dplyr</td>
      <td>http://</td>
      <td>~ "Ski~</td>
    </tr>
    <tr>
      <td>3</td>
      <td>1.3.1</td>
      <td>https://cloud.r-project.org/package=tidyr</td>
      <td>https://</td>
      <td>~ "Ski~</td>
    </tr>
    <tr>
      <td>4</td>
      <td>2.1.6</td>
      <td>https://cloud.r-project.org/package=readr</td>
      <td>http://</td>
      <td>~ "Ski~</td>
    </tr>
    <tr>
      <td>5</td>
      <td>1.2.0</td>
      <td>https://cloud.r-project.org/package=purrr</td>
      <td>http://</td>
      <td>~ "Ski~</td>
    </tr>
    <tr>
      <td>6</td>
      <td>3.3.0</td>
      <td>https://cloud.r-project.org/package=tibble</td>
      <td>https://</td>
      <td>~ "Ski~</td>
    </tr>
    <tr>
      <td>7</td>
      <td>1.6.0</td>
      <td>https://cloud.r-project.org/package=stringr</td>
      <td>http://</td>
      <td>~ "Ski~</td>
    </tr>
    <tr>
      <td>8</td>
      <td>1.0.1</td>
      <td>https://cloud.r-project.org/package=forcats</td>
      <td>http://</td>
      <td>~ "Ski~</td>
    </tr>
    <tr>
      <td>9</td>
      <td>1.9.4</td>
      <td>https://cloud.r-project.org/package=lubridate</td>
      <td>https://</td>
      <td>~ "Ski~</td>
    </tr>
  </tbody>
</table>

4.8.5 Create a corpus

web_pages_txt_corp < - corpus (pages_table)
print (web_pages_txt_corp)

## Corpus consisting of 9 documents and 4 docvars.
## text1 :
## "Skip to content ggplot24.0.1 Get started Reference News Rele..."
##
## text2 :
## "Skip to content dplyr1.1.4 Get started Reference Articles Gr..."
##
## text3 :
## "Skip to content tidyr1.3.1 Tidy data Reference Articles Pivo..."
##
## text4 :
## "Skip to content readr2.1.6 Get started Reference Articles Co..."
##
## text5 :
## "Skip to content purrr1.2.0 Get started Reference Articles pu..."
##
## text6 :
## "Skip to content tibble3.3.0 Get started Reference Articles C..."
##
## [ reached max_ndoc ... 3 more documents ]

4.8.5.1 Summary

summary(web_pages_txt_corpus, 10)

## Corpus consisting of 9 documents, showing 9 documents:

<table><thead><tr><th></th><th>Text</th><th>Types</th><th>Tokens</th><th>Sentences</th><th></th><th>name</th><th>version</th></tr></thead><tbody><tr><td>##</td><td>text1</td><td>377</td><td>797</td><td>25</td><td>ggplot2</td><td>4.0.1</td><td></td></tr><tr><td>##</td><td>text2</td><td>419</td><td>1258</td><td>17</td><td>dplyr</td><td>1.1.4</td><td></td></tr><tr><td>##</td><td>text3</td><td>326</td><td>729</td><td>25</td><td>tidyr</td><td>1.3.1</td><td></td></tr><tr><td>##</td><td>text4</td><td>569</td><td>1751</td><td>47</td><td>readr</td><td>2.1.6</td><td></td></tr><tr><td>##</td><td>text5</td><td>251</td><td>499</td><td>11</td><td>purrr</td><td>1.2.0</td><td></td></tr><tr><td>##</td><td>text6</td><td>269</td><td>717</td><td>14</td><td>tibble</td><td>3.3.0</td><td></td></tr><tr><td>##</td><td>text7</td><td>401</td><td>1355</td><td>23</td><td>stringr</td><td>1.6.0</td><td></td></tr><tr><td>##</td><td>text8</td><td>264</td><td>645</td><td>14</td><td>forcats</td><td>1.0.1</td><td></td></tr><tr><td>##</td><td>text9</td><td>267</td><td>650</td><td>11</td><td>lubridate</td><td>1.9.4</td><td></td></tr><tr><td>##</td><td></td><td></td><td></td><td></td><td></td><td>CRAN</td><td></td></tr><tr><td>##</td><td></td><td></td><td></td><td></td><td></td><td>https://cloud.r-project.org/package=ggplot2</td><td></td></tr><tr><td>##</td><td></td><td></td><td></td><td></td><td></td><td>https://cloud.r-project.org/package=dplyr</td><td></td></tr><tr><td>##</td><td></td><td></td><td></td><td></td><td></td><td>https://cloud.r-project.org/package=tidyr</td><td></td></tr><tr><td>##</td><td></td><td></td><td></td><td></td><td></td><td>https://cloud.r-project.org/package=readr</td><td></td></tr><tr><td>##</td><td></td><td></td><td></td><td></td><td></td><td>https://cloud.r-project.org/package=purrr</td><td></td></tr><tr><td>##</td><td></td><td></td><td></td><td></td><td></td><td>https://cloud.r-project.org/package=tibble</td><td></td></tr><tr><td>##</td><td></td><td></td><td></td><td></td><td></td><td>https://cloud.r-project.org/package=stringr</td><td></td></tr><tr><td>##</td><td></td><td></td><td></td><td></td><td></td><td>https://cloud.r-project.org/package=forcats</td><td></td></tr><tr><td>##</td><td></td><td></td><td></td><td></td><td></td><td>https://cloud.r-project.org/package=lubridate</td><td></td></tr><tr><td>##</td><td></td><td></td><td></td><td></td><td></td><td></td><td>Learn</td></tr><tr><td>##</td><td></td><td></td><td></td><td></td><td></td><td>https://r4ds.had.co.nz/data-visualisation.html</td><td></td></tr><tr><td>##</td><td></td><td></td><td></td><td></td><td></td><td>http://r4ds.had.co.nz/transform.html</td><td></td></tr><tr><td>##</td><td></td><td></td><td></td><td></td><td></td><td>https://r4ds.hadley.nz/data-tidy</td><td></td></tr><tr><td>##</td><td></td><td></td><td></td><td></td><td></td><td>http://r4ds.had.co.nz/data-import.html</td><td></td></tr><tr><td>##</td><td></td><td></td><td></td><td></td><td></td><td>http://r4ds.had.co.nz/iteration.html</td><td></td></tr></tbody></table>
## https://r4ds.had.co.nz/tibbles.html

## http://r4ds.hadley.nz/strings.html

## http://r4ds.had.co.nz/factors.html

## https://r4ds.hadley.nz/datetimes.html

### 4.8.5.2 Accessing parts of corpus

web_pages_txt_corpus[[4]]

[1] "Skip to content\nreadr2.1.6\nGet started\nReference\nArticles\nColumn type\nLength of the guessed column types, in this case. This is useful because it allows you to check if the length of the column is what you expected."

### 4.8.5.3 Document-level information

head(docvars(web_pages_txt_corpus))

## name version CRAN

## 1 ggplot2 4.0.1 https://cloud.r-project.org/package=ggplot2

## 2 dplyr 1.1.4 https://cloud.r-project.org/package=dplyr

## 3 tidyr 1.3.1 https://cloud.r-project.org/package=tidyr

## 4 readr 2.1.6 https://cloud.r-project.org/package=readr

## 5 purrr 1.2.0 https://cloud.r-project.org/package=purrr

## 6 tibble 3.3.0 https://cloud.r-project.org/package=tibble

## Learn

## 1 https://r4ds.had.co.nz/data-visualisation.html

## 2 http://r4ds.had.co.nz/transform.html

## 3 https://r4ds.hadley.nz/data-tidy

## 4 http://r4ds.had.co.nz/data-import.html

## 5 http://r4ds.had.co.nz/iteration.html

## 6 https://r4ds.had.co.nz/tibbles.html

## 4.8.6 Basic manipulations

By default, a corpus is created based on the "documents" (= lines). We can reshape it to show "sentences" or "paragraphs".

### 4.8.6.1 Sentences

web_pages_txt_corpus_sent <- corpus_ reshape(web_pages_txt_corpus, to = "sentences") web_pages_txt_corpus_sent

#### 4.8.6.1.1 Transform

## Corpus consisting of 187 documents and 4 docvars.

## text1.1 :

## "Skip to content ggplot24.0.1 Get started Reference News Rele..."
##
## text1.2 :
## "You provide the data, tell ggplot2 how to map variables to a..."
##
## text1.3 :
## "Installation # The easiest way to get ggplot2 is to install..."
##
## text1.4 :
## "However, in most cases you start with ggplot(), supply a dat..."
##
## text1.5 :
## "You then add on layers (like geom_point() or geom_histogram(...)"
##
## text1.6 :
## "That means, by-and-large, ggplot2 itself changes relatively ..."
##
## [ reached max_ndoc ... 181 more documents ]

summary(web_pages_txt_corpus_sent)

4.8.6.1.2 Summary

## Corpus consisting of 187 documents, showing 100 documents:

<table><thead><tr><th></th><th>Text</th><th>Types</th><th>Tokens</th><th>Sentences</th><th>name</th><th>version</th></tr></thead><tbody><tr><td>## text1.1</td><td>60</td><td>84</td><td></td><td>1</td><td>ggplot2</td><td>4.0.1</td></tr><tr><td>## text1.2</td><td>23</td><td>28</td><td></td><td>1</td><td>ggplot2</td><td>4.0.1</td></tr><tr><td>## text1.3</td><td>45</td><td>79</td><td></td><td>1</td><td>ggplot2</td><td>4.0.1</td></tr><tr><td>## text1.4</td><td>19</td><td>25</td><td></td><td>1</td><td>ggplot2</td><td>4.0.1</td></tr><tr><td>## text1.5</td><td>50</td><td>88</td><td></td><td>1</td><td>ggplot2</td><td>4.0.1</td></tr><tr><td>## text1.6</td><td>10</td><td>11</td><td></td><td>1</td><td>ggplot2</td><td>4.0.1</td></tr><tr><td>## text1.7</td><td>30</td><td>42</td><td></td><td>1</td><td>ggplot2</td><td>4.0.1</td></tr><tr><td>## text1.8</td><td>17</td><td>17</td><td></td><td>1</td><td>ggplot2</td><td>4.0.1</td></tr><tr><td>## text1.9</td><td>7</td><td>7</td><td></td><td>1</td><td>ggplot2</td><td>4.0.1</td></tr><tr><td>## text1.10</td><td>25</td><td>29</td><td></td><td>1</td><td>ggplot2</td><td>4.0.1</td></tr><tr><td>## text1.11</td><td>21</td><td>22</td><td></td><td>1</td><td>ggplot2</td><td>4.0.1</td></tr><tr><td>## text1.12</td><td>31</td><td>36</td><td></td><td>1</td><td>ggplot2</td><td>4.0.1</td></tr><tr><td>## text1.13</td><td>20</td><td>20</td><td></td><td>1</td><td>ggplot2</td><td>4.0.1</td></tr><tr><td>## text1.14</td><td>18</td><td>18</td><td></td><td>1</td><td>ggplot2</td><td>4.0.1</td></tr><tr><td>## text1.15</td><td>23</td><td>24</td><td></td><td>1</td><td>ggplot2</td><td>4.0.1</td></tr><tr><td>## text1.16</td><td>12</td><td>12</td><td></td><td>1</td><td>ggplot2</td><td>4.0.1</td></tr><tr><td>## text1.17</td><td>20</td><td>20</td><td></td><td>1</td><td>ggplot2</td><td>4.0.1</td></tr><tr><td>## text1.18</td><td>16</td><td>17</td><td></td><td>1</td><td>ggplot2</td><td>4.0.1</td></tr><tr><td>## text1.19</td><td>25</td><td>26</td><td></td><td>1</td><td>ggplot2</td><td>4.0.1</td></tr><tr><td>## text1.20</td><td>13</td><td>13</td><td></td><td>1</td><td>ggplot2</td><td>4.0.1</td></tr></tbody></table>
<table>
  <tbody>
    <tr>
      <td>text1.21</td>
      <td>28</td>
      <td>32</td>
      <td>1</td>
      <td>ggplot2</td>
      <td>4.0.1</td>
    </tr>
    <tr>
      <td>text1.22</td>
      <td>13</td>
      <td>13</td>
      <td>1</td>
      <td>ggplot2</td>
      <td>4.0.1</td>
    </tr>
    <tr>
      <td>text1.23</td>
      <td>21</td>
      <td>22</td>
      <td>1</td>
      <td>ggplot2</td>
      <td>4.0.1</td>
    </tr>
    <tr>
      <td>text1.24</td>
      <td>63</td>
      <td>106</td>
      <td>1</td>
      <td>ggplot2</td>
      <td>4.0.1</td>
    </tr>
    <tr>
      <td>text1.25</td>
      <td>6</td>
      <td>6</td>
      <td>1</td>
      <td>ggplot2</td>
      <td>4.0.1</td>
    </tr>
    <tr>
      <td>text2.1</td>
      <td>27</td>
      <td>31</td>
      <td>1</td>
      <td>dplyr</td>
      <td>1.1.4</td>
    </tr>
    <tr>
      <td>text2.2</td>
      <td>66</td>
      <td>101</td>
      <td>1</td>
      <td>dplyr</td>
      <td>1.1.4</td>
    </tr>
    <tr>
      <td>text2.3</td>
      <td>20</td>
      <td>20</td>
      <td>1</td>
      <td>dplyr</td>
      <td>1.1.4</td>
    </tr>
    <tr>
      <td>text2.4</td>
      <td>13</td>
      <td>14</td>
      <td>1</td>
      <td>dplyr</td>
      <td>1.1.4</td>
    </tr>
    <tr>
      <td>text2.5</td>
      <td>25</td>
      <td>29</td>
      <td>1</td>
      <td>dplyr</td>
      <td>1.1.4</td>
    </tr>
    <tr>
      <td>text2.6</td>
      <td>21</td>
      <td>23</td>
      <td>1</td>
      <td>dplyr</td>
      <td>1.1.4</td>
    </tr>
    <tr>
      <td>text2.7</td>
      <td>20</td>
      <td>20</td>
      <td>1</td>
      <td>dplyr</td>
      <td>1.1.4</td>
    </tr>
    <tr>
      <td>text2.8</td>
      <td>33</td>
      <td>40</td>
      <td>1</td>
      <td>dplyr</td>
      <td>1.1.4</td>
    </tr>
    <tr>
      <td>text2.9</td>
      <td>17</td>
      <td>19</td>
      <td>1</td>
      <td>dplyr</td>
      <td>1.1.4</td>
    </tr>
    <tr>
      <td>text2.10</td>
      <td>20</td>
      <td>21</td>
      <td>1</td>
      <td>dplyr</td>
      <td>1.1.4</td>
    </tr>
    <tr>
      <td>text2.11</td>
      <td>36</td>
      <td>44</td>
      <td>1</td>
      <td>dplyr</td>
      <td>1.1.4</td>
    </tr>
    <tr>
      <td>text2.12</td>
      <td>194</td>
      <td>778</td>
      <td>1</td>
      <td>dplyr</td>
      <td>1.1.4</td>
    </tr>
    <tr>
      <td>text2.13</td>
      <td>15</td>
      <td>15</td>
      <td>1</td>
      <td>dplyr</td>
      <td>1.1.4</td>
    </tr>
    <tr>
      <td>text2.14</td>
      <td>14</td>
      <td>14</td>
      <td>1</td>
      <td>dplyr</td>
      <td>1.1.4</td>
    </tr>
    <tr>
      <td>text2.15</td>
      <td>13</td>
      <td>13</td>
      <td>1</td>
      <td>dplyr</td>
      <td>1.1.4</td>
    </tr>
    <tr>
      <td>text2.16</td>
      <td>50</td>
      <td>70</td>
      <td>1</td>
      <td>dplyr</td>
      <td>1.1.4</td>
    </tr>
    <tr>
      <td>text2.17</td>
      <td>6</td>
      <td>6</td>
      <td>1</td>
      <td>dplyr</td>
      <td>1.1.4</td>
    </tr>
    <tr>
      <td>text3.1</td>
      <td>14</td>
      <td>17</td>
      <td>1</td>
      <td>tidyr</td>
      <td>1.3.1</td>
    </tr>
    <tr>
      <td>text3.2</td>
      <td>32</td>
      <td>44</td>
      <td>1</td>
      <td>tidyr</td>
      <td>1.3.1</td>
    </tr>
    <tr>
      <td>text3.3</td>
      <td>12</td>
      <td>18</td>
      <td>1</td>
      <td>tidyr</td>
      <td>1.3.1</td>
    </tr>
    <tr>
      <td>text3.4</td>
      <td>9</td>
      <td>12</td>
      <td>1</td>
      <td>tidyr</td>
      <td>1.3.1</td>
    </tr>
    <tr>
      <td>text3.5</td>
      <td>9</td>
      <td>13</td>
      <td>1</td>
      <td>tidyr</td>
      <td>1.3.1</td>
    </tr>
    <tr>
      <td>text3.6</td>
      <td>17</td>
      <td>18</td>
      <td>1</td>
      <td>tidyr</td>
      <td>1.3.1</td>
    </tr>
    <tr>
      <td>text3.7</td>
      <td>23</td>
      <td>25</td>
      <td>1</td>
      <td>tidyr</td>
      <td>1.3.1</td>
    </tr>
    <tr>
      <td>text3.8</td>
      <td>12</td>
      <td>13</td>
      <td>1</td>
      <td>tidyr</td>
      <td>1.3.1</td>
    </tr>
    <tr>
      <td>text3.9</td>
      <td>57</td>
      <td>109</td>
      <td>1</td>
      <td>tidyr</td>
      <td>1.3.1</td>
    </tr>
    <tr>
      <td>text3.10</td>
      <td>10</td>
      <td>11</td>
      <td>1</td>
      <td>tidyr</td>
      <td>1.3.1</td>
    </tr>
    <tr>
      <td>text3.11</td>
      <td>18</td>
      <td>18</td>
      <td>1</td>
      <td>tidyr</td>
      <td>1.3.1</td>
    </tr>
    <tr>
      <td>text3.12</td>
      <td>15</td>
      <td>24</td>
      <td>1</td>
      <td>tidyr</td>
      <td>1.3.1</td>
    </tr>
    <tr>
      <td>text3.13</td>
      <td>23</td>
      <td>26</td>
      <td>1</td>
      <td>tidyr</td>
      <td>1.3.1</td>
    </tr>
    <tr>
      <td>text3.14</td>
      <td>13</td>
      <td>20</td>
      <td>1</td>
      <td>tidyr</td>
      <td>1.3.1</td>
    </tr>
    <tr>
      <td>text3.15</td>
      <td>6</td>
      <td>6</td>
      <td>1</td>
      <td>tidyr</td>
      <td>1.3.1</td>
    </tr>
    <tr>
      <td>text3.16</td>
      <td>22</td>
      <td>37</td>
      <td>1</td>
      <td>tidyr</td>
      <td>1.3.1</td>
    </tr>
    <tr>
      <td>text3.17</td>
      <td>24</td>
      <td>42</td>
      <td>1</td>
      <td>tidyr</td>
      <td>1.3.1</td>
    </tr>
    <tr>
      <td>text3.18</td>
      <td>12</td>
      <td>14</td>
      <td>1</td>
      <td>tidyr</td>
      <td>1.3.1</td>
    </tr>
    <tr>
      <td>text3.19</td>
      <td>110</td>
      <td>153</td>
      <td>1</td>
      <td>tidyr</td>
      <td>1.3.1</td>
    </tr>
    <tr>
      <td>text3.20</td>
      <td>10</td>
      <td>10</td>
      <td>1</td>
      <td>tidyr</td>
      <td>1.3.1</td>
    </tr>
    <tr>
      <td>text3.21</td>
      <td>15</td>
      <td>15</td>
      <td>1</td>
      <td>tidyr</td>
      <td>1.3.1</td>
    </tr>
    <tr>
      <td>text3.22</td>
      <td>13</td>
      <td>14</td>
      <td>1</td>
      <td>tidyr</td>
      <td>1.3.1</td>
    </tr>
    <tr>
      <td>text3.23</td>
      <td>47</td>
      <td>52</td>
      <td>1</td>
      <td>tidyr</td>
      <td>1.3.1</td>
    </tr>
    <tr>
      <td>text3.24</td>
      <td>10</td>
      <td>12</td>
      <td>1</td>
      <td>tidyr</td>
      <td>1.3.1</td>
    </tr>
  </tbody>
</table>
<table><tr><td>text3.25</td><td>6</td><td>6</td><td>1</td><td>tidyr</td><td>1.3.1</td></tr><tr><td>text4.1</td><td>51</td><td>64</td><td>1</td><td>readr</td><td>2.1.6</td></tr><tr><td>text4.2</td><td>26</td><td>27</td><td>1</td><td>readr</td><td>2.1.6</td></tr><tr><td>text4.3</td><td>21</td><td>23</td><td>1</td><td>readr</td><td>2.1.6</td></tr><tr><td>text4.4</td><td>148</td><td>388</td><td>1</td><td>readr</td><td>2.1.6</td></tr><tr><td>text4.5</td><td>26</td><td>34</td><td>1</td><td>readr</td><td>2.1.6</td></tr><tr><td>text4.6</td><td>21</td><td>22</td><td>1</td><td>readr</td><td>2.1.6</td></tr><tr><td>text4.7</td><td>20</td><td>21</td><td>1</td><td>readr</td><td>2.1.6</td></tr><tr><td>text4.8</td><td>63</td><td>167</td><td>1</td><td>readr</td><td>2.1.6</td></tr><tr><td>text4.9</td><td>39</td><td>59</td><td>1</td><td>readr</td><td>2.1.6</td></tr><tr><td>text4.10</td><td>8</td><td>8</td><td>1</td><td>readr</td><td>2.1.6</td></tr><tr><td>text4.11</td><td>19</td><td>20</td><td>1</td><td>readr</td><td>2.1.6</td></tr><tr><td>text4.12</td><td>17</td><td>17</td><td>1</td><td>readr</td><td>2.1.6</td></tr><tr><td>text4.13</td><td>14</td><td>17</td><td>1</td><td>readr</td><td>2.1.6</td></tr><tr><td>text4.14</td><td>19</td><td>20</td><td>1</td><td>readr</td><td>2.1.6</td></tr><tr><td>text4.15</td><td>14</td><td>14</td><td>1</td><td>readr</td><td>2.1.6</td></tr><tr><td>text4.16</td><td>17</td><td>18</td><td>1</td><td>readr</td><td>2.1.6</td></tr><tr><td>text4.17</td><td>45</td><td>84</td><td>1</td><td>readr</td><td>2.1.6</td></tr><tr><td>text4.18</td><td>69</td><td>139</td><td>1</td><td>readr</td><td>2.1.6</td></tr><tr><td>text4.19</td><td>8</td><td>8</td><td>1</td><td>readr</td><td>2.1.6</td></tr><tr><td>text4.20</td><td>19</td><td>20</td><td>1</td><td>readr</td><td>2.1.6</td></tr><tr><td>text4.21</td><td>27</td><td>30</td><td>1</td><td>readr</td><td>2.1.6</td></tr><tr><td>text4.22</td><td>16</td><td>16</td><td>1</td><td>readr</td><td>2.1.6</td></tr><tr><td>text4.23</td><td>15</td><td>18</td><td>1</td><td>readr</td><td>2.1.6</td></tr><tr><td>text4.24</td><td>16</td><td>16</td><td>1</td><td>readr</td><td>2.1.6</td></tr><tr><td>text4.25</td><td>25</td><td>32</td><td>1</td><td>readr</td><td>2.1.6</td></tr><tr><td>text4.26</td><td>23</td><td>27</td><td>1</td><td>readr</td><td>2.1.6</td></tr><tr><td>text4.27</td><td>24</td><td>30</td><td>1</td><td>readr</td><td>2.1.6</td></tr><tr><td>text4.28</td><td>14</td><td>15</td><td>1</td><td>readr</td><td>2.1.6</td></tr><tr><td>text4.29</td><td>10</td><td>11</td><td>1</td><td>readr</td><td>2.1.6</td></tr><tr><td>text4.30</td><td>31</td><td>40</td><td>1</td><td>readr</td><td>2.1.6</td></tr><tr><td>text4.31</td><td>17</td><td>17</td><td>1</td><td>readr</td><td>2.1.6</td></tr><tr><td>text4.32</td><td>8</td><td>8</td><td>1</td><td>readr</td><td>2.1.6</td></tr><tr><td>text4.33</td><td>28</td><td>32</td><td>1</td><td>readr</td><td>2.1.6</td></tr></table>

## CRAN
## https://cloud.r-project.org/package=ggplot2
## https://cloud.r-project.org/package=ggplot2
## https://cloud.r-project.org/package=ggplot2
## https://cloud.r-project.org/package=ggplot2
## https://cloud.r-project.org/package=ggplot2
## https://cloud.r-project.org/package=ggplot2
## https://cloud.r-project.org/package=ggplot2
## https://cloud.r-project.org/package=ggplot2
## https://cloud.r-project.org/package=ggplot2
## https://cloud.r-project.org/package=ggplot2
## https://cloud.r-project.org/package=ggplot2

## https://cloud.r-project.org/package=ggplot2

## https://cloud.r-project.org/package=ggplot2

## https://cloud.r-project.org/package=ggplot2

## https://cloud.r-project.org/package=ggplot2

## https://cloud.r-project.org/package=ggplot2

## https://cloud.r-project.org/package=ggplot2

## https://cloud.r-project.org/package=ggplot2

## https://cloud.r-project.org/package=ggplot2

## https://cloud.r-project.org/package=ggplot2

## https://cloud.r-project.org/package=ggplot2

## https://cloud.r-project.org/package=ggplot2

## https://cloud.r-project.org/package=ggplot2

## https://cloud.r-project.org/package=ggplot2

## https://cloud.r-project.org/package=dplyr

## https://cloud.r-project.org/package=dplyr

## https://cloud.r-project.org/package=dplyr

## https://cloud.r-project.org/package=dplyr

## https://cloud.r-project.org/package=dplyr

## https://cloud.r-project.org/package=dplyr

## https://cloud.r-project.org/package=dplyr

## https://cloud.r-project.org/package=dplyr

## https://cloud.r-project.org/package=dplyr

## https://cloud.r-project.org/package=dplyr

## https://cloud.r-project.org/package=dplyr

## https://cloud.r-project.org/package=dplyr

## https://cloud.r-project.org/package=dplyr

## https://cloud.r-project.org/package=dplyr

## https://cloud.r-project.org/package=dplyr

## https://cloud.r-project.org/package=dplyr

## https://cloud.r-project.org/package=dplyr

## https://cloud.r-project.org/package=tidyr

## https://cloud.r-project.org/package=tidyr

## https://cloud.r-project.org/package=tidyr

## https://cloud.r-project.org/package=tidyr

## https://cloud.r-project.org/package=tidyr

## https://cloud.r-project.org/package=tidyr

## https://cloud.r-project.org/package=tidyr

## https://cloud.r-project.org/package=tidyr

## https://cloud.r-project.org/package=tidyr

## https://cloud.r-project.org/package=tidyr

## https://cloud.r-project.org/package=tidyr

## https://cloud.r-project.org/package=tidyr

## https://cloud.r-project.org/package=tidyr

## https://cloud.r-project.org/package=tidyr

## https://cloud.r-project.org/package=tidyr
<table>
  <tbody>
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      <td>https://r4ds.had.co.nz/data-visualisation.html</td>
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      <td>http://r4ds.had.co.nz/transform.html</td>
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      <td>http://r4ds.had.co.nz/transform.html</td>
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      <td>http://r4ds.had.co.nz/transform.html</td>
    </tr>
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      <td>http://r4ds.had.co.nz/transform.html</td>
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      <td>http://r4ds.had.co.nz/transform.html</td>
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      <td>http://r4ds.had.co.nz/transform.html</td>
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      <td>http://r4ds.had.co.nz/transform.html</td>
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      <td>http://r4ds.had.co.nz/transform.html</td>
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      <td>http://r4ds.had.co.nz/transform.html</td>
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      <td>http://r4ds.had.co.nz/transform.html</td>
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      <td>http://r4ds.had.co.nz/transform.html</td>
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      <td>http://r4ds.had.co.nz/transform.html</td>
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    <tr>
      <td>https://r4ds.hadley.nz/data-tidy</td>
    </tr>
    <tr>
      <td>https://r4ds.hadley.nz/data-tidy</td>
    </tr>
    <tr>
      <td>https://r4ds.hadley.nz/data-tidy</td>
    </tr>
    <tr>
      <td>https://r4ds.hadley.nz/data-tidy</td>
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    <tr>
      <td>https://r4ds.hadley.nz/data-tidy</td>
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    <tr>
      <td>https://r4ds.hadley.nz/data-tidy</td>
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  </tbody>
</table>
<table><tr><td>https://r4ds.hadley.nz/data-tidy</td></tr><tr><td>https://r4ds.hadley.nz/data-tidy</td></tr><tr><td>https://r4ds.hadley.nz/data-tidy</td></tr><tr><td>https://r4ds.hadley.nz/data-tidy</td></tr><tr><td>https://r4ds.hadley.nz/data-tidy</td></tr><tr><td>https://r4ds.hadley.nz/data-tidy</td></tr><tr><td>https://r4ds.hadley.nz/data-tidy</td></tr><tr><td>https://r4ds.hadley.nz/data-tidy</td></tr><tr><td>https://r4ds.hadley.nz/data-tidy</td></tr><tr><td>https://r4ds.hadley.nz/data-tidy</td></tr><tr><td>https://r4ds.hadley.nz/data-tidy</td></tr><tr><td>https://r4ds.hadley.nz/data-tidy</td></tr><tr><td>https://r4ds.hadley.nz/data-tidy</td></tr><tr><td>https://r4ds.hadley.nz/data-tidy</td></tr><tr><td>https://r4ds.hadley.nz/data-tidy</td></tr><tr><td>https://r4ds.hadley.nz/data-tidy</td></tr><tr><td>https://r4ds.hadley.nz/data-tidy</td></tr><tr><td>https://r4ds.hadley.nz/data-tidy</td></tr><tr><td>http://r4ds.had.co.nz/data-import.html</td></tr><tr><td>http://r4ds.had.co.nz/data-import.html</td></tr><tr><td>http://r4ds.had.co.nz/data-import.html</td></tr><tr><td>http://r4ds.had.co.nz/data-import.html</td></tr><tr><td>http://r4ds.had.co.nz/data-import.html</td></tr><tr><td>http://r4ds.had.co.nz/data-import.html</td></tr><tr><td>http://r4ds.had.co.nz/data-import.html</td></tr><tr><td>http://r4ds.had.co.nz/data-import.html</td></tr><tr><td>http://r4ds.had.co.nz/data-import.html</td></tr><tr><td>http://r4ds.had.co.nz/data-import.html</td></tr><tr><td>http://r4ds.had.co.nz/data-import.html</td></tr><tr><td>http://r4ds.had.co.nz/data-import.html</td></tr><tr><td>http://r4ds.had.co.nz/data-import.html</td></tr><tr><td>http://r4ds.had.co.nz/data-import.html</td></tr><tr><td>http://r4ds.had.co.nz/data-import.html</td></tr><tr><td>http://r4ds.had.co.nz/data-import.html</td></tr><tr><td>http://r4ds.had.co.nz/data-import.html</td></tr><tr><td>http://r4ds.had.co.nz/data-import.html</td></tr><tr><td>http://r4ds.had.co.nz/data-import.html</td></tr><tr><td>http://r4ds.had.co.nz/data-import.html</td></tr><tr><td>http://r4ds.had.co.nz/data-import.html</td></tr><tr><td>http://r4ds.had.co.nz/data-import.html</td></tr><tr><td>http://r4ds.had.co.nz/data-import.html</td></tr></table>
## http://r4ds.had.co.nz/data-import.html

## http://r4ds.had.co.nz/data-import.html

## http://r4ds.had.co.nz/data-import.html

## http://r4ds.had.co.nz/data-import.html

## http://r4ds.had.co.nz/data-import.html

## http://r4ds.had.co.nz/data-import.html

### 4.8.6.1.3 Subset We can subset sentences with 10 or more words

web_pages_txt_corpus_sent_long <- corpus_subset(web_pages_txt_corpus_sent, ntoken(web_pages_txt_corpus_sent_long)

## [1] 164

summary(web_pages_txt_corpus_sent_long)

## Corpus consisting of 164 documents, showing 100 documents:

##

<table><thead><tr><th></th><th>Text Types</th><th>Tokens</th><th>Sentences</th><th></th><th>name</th><th>version</th></tr></thead><tbody><tr><td>## text1.1</td><td>60</td><td>84</td><td></td><td>1</td><td>ggplot2</td><td>4.0.1</td></tr><tr><td>## text1.2</td><td>23</td><td>28</td><td></td><td>1</td><td>ggplot2</td><td>4.0.1</td></tr><tr><td>## text1.3</td><td>45</td><td>79</td><td></td><td>1</td><td>ggplot2</td><td>4.0.1</td></tr><tr><td>## text1.4</td><td>19</td><td>25</td><td></td><td>1</td><td>ggplot2</td><td>4.0.1</td></tr><tr><td>## text1.5</td><td>50</td><td>88</td><td></td><td>1</td><td>ggplot2</td><td>4.0.1</td></tr><tr><td>## text1.6</td><td>10</td><td>11</td><td></td><td>1</td><td>ggplot2</td><td>4.0.1</td></tr><tr><td>## text1.7</td><td>30</td><td>42</td><td></td><td>1</td><td>ggplot2</td><td>4.0.1</td></tr><tr><td>## text1.8</td><td>17</td><td>17</td><td></td><td>1</td><td>ggplot2</td><td>4.0.1</td></tr><tr><td>## text1.10</td><td>25</td><td>29</td><td></td><td>1</td><td>ggplot2</td><td>4.0.1</td></tr><tr><td>## text1.11</td><td>21</td><td>22</td><td></td><td>1</td><td>ggplot2</td><td>4.0.1</td></tr><tr><td>## text1.12</td><td>31</td><td>36</td><td></td><td>1</td><td>ggplot2</td><td>4.0.1</td></tr><tr><td>## text1.13</td><td>20</td><td>20</td><td></td><td>1</td><td>ggplot2</td><td>4.0.1</td></tr><tr><td>## text1.14</td><td>18</td><td>18</td><td></td><td>1</td><td>ggplot2</td><td>4.0.1</td></tr><tr><td>## text1.15</td><td>23</td><td>24</td><td></td><td>1</td><td>ggplot2</td><td>4.0.1</td></tr><tr><td>## text1.16</td><td>12</td><td>12</td><td></td><td>1</td><td>ggplot2</td><td>4.0.1</td></tr><tr><td>## text1.17</td><td>20</td><td>20</td><td></td><td>1</td><td>ggplot2</td><td>4.0.1</td></tr><tr><td>## text1.18</td><td>16</td><td>17</td><td></td><td>1</td><td>ggplot2</td><td>4.0.1</td></tr><tr><td>## text1.19</td><td>25</td><td>26</td><td></td><td>1</td><td>ggplot2</td><td>4.0.1</td></tr><tr><td>## text1.20</td><td>13</td><td>13</td><td></td><td>1</td><td>ggplot2</td><td>4.0.1</td></tr><tr><td>## text1.21</td><td>28</td><td>32</td><td></td><td>1</td><td>ggplot2</td><td>4.0.1</td></tr><tr><td>## text1.22</td><td>13</td><td>13</td><td></td><td>1</td><td>ggplot2</td><td>4.0.1</td></tr><tr><td>## text1.23</td><td>21</td><td>22</td><td></td><td>1</td><td>ggplot2</td><td>4.0.1</td></tr><tr><td>## text1.24</td><td>63</td><td>106</td><td></td><td>1</td><td>ggplot2</td><td>4.0.1</td></tr><tr><td>## text2.1</td><td>27</td><td>31</td><td></td><td>1</td><td>dplyr</td><td>1.1.4</td></tr><tr><td>## text2.2</td><td>66</td><td>101</td><td></td><td>1</td><td>dplyr</td><td>1.1.4</td></tr><tr><td>## text2.3</td><td>20</td><td>20</td><td></td><td>1</td><td>dplyr</td><td>1.1.4</td></tr><tr><td>## text2.4</td><td>13</td><td>14</td><td></td><td>1</td><td>dplyr</td><td>1.1.4</td></tr><tr><td>## text2.5</td><td>25</td><td>29</td><td></td><td>1</td><td>dplyr</td><td>1.1.4</td></tr></tbody></table>
<table><tr><td>text2.6</td><td>21</td><td>23</td><td>1</td><td>dplyr</td><td>1.1.4</td></tr><tr><td>text2.7</td><td>20</td><td>20</td><td>1</td><td>dplyr</td><td>1.1.4</td></tr><tr><td>text2.8</td><td>33</td><td>40</td><td>1</td><td>dplyr</td><td>1.1.4</td></tr><tr><td>text2.9</td><td>17</td><td>19</td><td>1</td><td>dplyr</td><td>1.1.4</td></tr><tr><td>text2.10</td><td>20</td><td>21</td><td>1</td><td>dplyr</td><td>1.1.4</td></tr><tr><td>text2.11</td><td>36</td><td>44</td><td>1</td><td>dplyr</td><td>1.1.4</td></tr><tr><td>text2.12</td><td>194</td><td>778</td><td>1</td><td>dplyr</td><td>1.1.4</td></tr><tr><td>text2.13</td><td>15</td><td>15</td><td>1</td><td>dplyr</td><td>1.1.4</td></tr><tr><td>text2.14</td><td>14</td><td>14</td><td>1</td><td>dplyr</td><td>1.1.4</td></tr><tr><td>text2.15</td><td>13</td><td>13</td><td>1</td><td>dplyr</td><td>1.1.4</td></tr><tr><td>text2.16</td><td>50</td><td>70</td><td>1</td><td>dplyr</td><td>1.1.4</td></tr><tr><td>text3.1</td><td>14</td><td>17</td><td>1</td><td>tidyr</td><td>1.3.1</td></tr><tr><td>text3.2</td><td>32</td><td>44</td><td>1</td><td>tidyr</td><td>1.3.1</td></tr><tr><td>text3.3</td><td>12</td><td>18</td><td>1</td><td>tidyr</td><td>1.3.1</td></tr><tr><td>text3.4</td><td>9</td><td>12</td><td>1</td><td>tidyr</td><td>1.3.1</td></tr><tr><td>text3.5</td><td>9</td><td>13</td><td>1</td><td>tidyr</td><td>1.3.1</td></tr><tr><td>text3.6</td><td>17</td><td>18</td><td>1</td><td>tidyr</td><td>1.3.1</td></tr><tr><td>text3.7</td><td>23</td><td>25</td><td>1</td><td>tidyr</td><td>1.3.1</td></tr><tr><td>text3.8</td><td>12</td><td>13</td><td>1</td><td>tidyr</td><td>1.3.1</td></tr><tr><td>text3.9</td><td>57</td><td>109</td><td>1</td><td>tidyr</td><td>1.3.1</td></tr><tr><td>text3.10</td><td>10</td><td>11</td><td>1</td><td>tidyr</td><td>1.3.1</td></tr><tr><td>text3.11</td><td>18</td><td>18</td><td>1</td><td>tidyr</td><td>1.3.1</td></tr><tr><td>text3.12</td><td>15</td><td>24</td><td>1</td><td>tidyr</td><td>1.3.1</td></tr><tr><td>text3.13</td><td>23</td><td>26</td><td>1</td><td>tidyr</td><td>1.3.1</td></tr><tr><td>text3.14</td><td>13</td><td>20</td><td>1</td><td>tidyr</td><td>1.3.1</td></tr><tr><td>text3.16</td><td>22</td><td>37</td><td>1</td><td>tidyr</td><td>1.3.1</td></tr><tr><td>text3.17</td><td>24</td><td>42</td><td>1</td><td>tidyr</td><td>1.3.1</td></tr><tr><td>text3.18</td><td>12</td><td>14</td><td>1</td><td>tidyr</td><td>1.3.1</td></tr><tr><td>text3.19</td><td>110</td><td>153</td><td>1</td><td>tidyr</td><td>1.3.1</td></tr><tr><td>text3.20</td><td>10</td><td>10</td><td>1</td><td>tidyr</td><td>1.3.1</td></tr><tr><td>text3.21</td><td>15</td><td>15</td><td>1</td><td>tidyr</td><td>1.3.1</td></tr><tr><td>text3.22</td><td>13</td><td>14</td><td>1</td><td>tidyr</td><td>1.3.1</td></tr><tr><td>text3.23</td><td>47</td><td>52</td><td>1</td><td>tidyr</td><td>1.3.1</td></tr><tr><td>text3.24</td><td>10</td><td>12</td><td>1</td><td>tidyr</td><td>1.3.1</td></tr><tr><td>text4.1</td><td>51</td><td>64</td><td>1</td><td>readr</td><td>2.1.6</td></tr><tr><td>text4.2</td><td>26</td><td>27</td><td>1</td><td>readr</td><td>2.1.6</td></tr><tr><td>text4.3</td><td>21</td><td>23</td><td>1</td><td>readr</td><td>2.1.6</td></tr><tr><td>text4.4</td><td>148</td><td>388</td><td>1</td><td>readr</td><td>2.1.6</td></tr><tr><td>text4.5</td><td>26</td><td>34</td><td>1</td><td>readr</td><td>2.1.6</td></tr><tr><td>text4.6</td><td>21</td><td>22</td><td>1</td><td>readr</td><td>2.1.6</td></tr><tr><td>text4.7</td><td>20</td><td>21</td><td>1</td><td>readr</td><td>2.1.6</td></tr><tr><td>text4.8</td><td>63</td><td>167</td><td>1</td><td>readr</td><td>2.1.6</td></tr><tr><td>text4.9</td><td>39</td><td>59</td><td>1</td><td>readr</td><td>2.1.6</td></tr><tr><td>text4.11</td><td>19</td><td>20</td><td>1</td><td>readr</td><td>2.1.6</td></tr><tr><td>text4.12</td><td>17</td><td>17</td><td>1</td><td>readr</td><td>2.1.6</td></tr><tr><td>text4.13</td><td>14</td><td>17</td><td>1</td><td>readr</td><td>2.1.6</td></tr></table>
<table><tr><td>text4.14</td><td>19</td><td>20</td><td>1</td><td>readr</td><td>2.1.6</td></tr><tr><td>text4.15</td><td>14</td><td>14</td><td>1</td><td>readr</td><td>2.1.6</td></tr><tr><td>text4.16</td><td>17</td><td>18</td><td>1</td><td>readr</td><td>2.1.6</td></tr><tr><td>text4.17</td><td>45</td><td>84</td><td>1</td><td>readr</td><td>2.1.6</td></tr><tr><td>text4.18</td><td>69</td><td>139</td><td>1</td><td>readr</td><td>2.1.6</td></tr><tr><td>text4.20</td><td>19</td><td>20</td><td>1</td><td>readr</td><td>2.1.6</td></tr><tr><td>text4.21</td><td>27</td><td>30</td><td>1</td><td>readr</td><td>2.1.6</td></tr><tr><td>text4.22</td><td>16</td><td>16</td><td>1</td><td>readr</td><td>2.1.6</td></tr><tr><td>text4.23</td><td>15</td><td>18</td><td>1</td><td>readr</td><td>2.1.6</td></tr><tr><td>text4.24</td><td>16</td><td>16</td><td>1</td><td>readr</td><td>2.1.6</td></tr><tr><td>text4.25</td><td>25</td><td>32</td><td>1</td><td>readr</td><td>2.1.6</td></tr><tr><td>text4.26</td><td>23</td><td>27</td><td>1</td><td>readr</td><td>2.1.6</td></tr><tr><td>text4.27</td><td>24</td><td>30</td><td>1</td><td>readr</td><td>2.1.6</td></tr><tr><td>text4.28</td><td>14</td><td>15</td><td>1</td><td>readr</td><td>2.1.6</td></tr><tr><td>text4.29</td><td>10</td><td>11</td><td>1</td><td>readr</td><td>2.1.6</td></tr><tr><td>text4.30</td><td>31</td><td>40</td><td>1</td><td>readr</td><td>2.1.6</td></tr><tr><td>text4.31</td><td>17</td><td>17</td><td>1</td><td>readr</td><td>2.1.6</td></tr><tr><td>text4.33</td><td>28</td><td>32</td><td>1</td><td>readr</td><td>2.1.6</td></tr><tr><td>text4.34</td><td>14</td><td>14</td><td>1</td><td>readr</td><td>2.1.6</td></tr><tr><td>text4.35</td><td>16</td><td>16</td><td>1</td><td>readr</td><td>2.1.6</td></tr><tr><td>text4.36</td><td>13</td><td>14</td><td>1</td><td>readr</td><td>2.1.6</td></tr><tr><td>text4.37</td><td>12</td><td>13</td><td>1</td><td>readr</td><td>2.1.6</td></tr><tr><td>text4.38</td><td>21</td><td>30</td><td>1</td><td>readr</td><td>2.1.6</td></tr><tr><td>text4.39</td><td>18</td><td>19</td><td>1</td><td>readr</td><td>2.1.6</td></tr><tr><td>text4.40</td><td>21</td><td>27</td><td>1</td><td>readr</td><td>2.1.6</td></tr><tr><td>text4.41</td><td>20</td><td>26</td><td>1</td><td>readr</td><td>2.1.6</td></tr></table>

## CRAN
## https://cloud.r-project.org/package=ggplot2
## https://cloud.r-project.org/package=ggplot2
## https://cloud.r-project.org/package=ggplot2
## https://cloud.r-project.org/package=ggplot2
## https://cloud.r-project.org/package=ggplot2
## https://cloud.r-project.org/package=ggplot2
## https://cloud.r-project.org/package=ggplot2
## https://cloud.r-project.org/package=ggplot2
## https://cloud.r-project.org/package=ggplot2
## https://cloud.r-project.org/package=ggplot2
## https://cloud.r-project.org/package=ggplot2
## https://cloud.r-project.org/package=ggplot2
## https://cloud.r-project.org/package=ggplot2
## https://cloud.r-project.org/package=ggplot2
## https://cloud.r-project.org/package=ggplot2
## https://cloud.r-project.org/package=ggplot2
## https://cloud.r-project.org/package=ggplot2
## https://cloud.r-project.org/package=ggplot2
### 4.8.6.2 Paragraphs

```
web_pages_txt_corpus_para <- corpus_reshape(web_pages_txt_corpus, to = "paragraphs")
web_pages_txt_corpus_para
```

#### 4.8.6.2.1 Transform

```
## Corpus consisting of 274 documents and 4 docvars.
```

```
## text1.1 :
```

```
## "Skip to content ggplot24.0.1 Get started Reference News Rele..."
```

```
##
```

```
## text1.2 :
```

```
## "ggplot2 is a system for declaratively creating graphics, bas..."
```

```
##
```

```
## text1.3 :
```

```
## "Installation"
```

```
##
```

```
## text1.4 :
```

```
## "# The easiest way to get ggplot2 is to install the whole tid..."
```

```
##
```

```
## text1.5 :
```

```
## "# Alternatively, install just ggplot2: install.packages("ggp..."
```

```
##
```

```
## text1.6 :
```

```
## "# Or the development version from GitHub: # install.packages..."
```

```
##
```

```
## [ reached max_ndoc ... 268 more documents ]
```

```
summary(web_pages_txt_corpus)
```

#### 4.8.6.2.2 Summary

```
## Corpus consisting of 9 documents, showing 9 documents:
```

```
##
```

```
## Text Types Tokens Sentences name version
```

```
## text1 377 797 25 ggplot2 4.0.1
```

```
## text2 419 1258 17 dplyr 1.1.4
```

```
## text3 326 729 25 tidyr 1.3.1
```

```
## text4 569 1751 47 readr 2.1.6
```

```
## text5 251 499 11 purrr 1.2.0
```

```
## text6 269 717 14 tibble 3.3.0
```

```
## text7 401 1355 23 stringr 1.6.0
```

```
## text8 264 645 14 forcats 1.0.1
```

```
## text9 267 650 11 lubridate 1.9.4
```

```
##
```

```
CRAN
```
## https://cloud.r-project.org/package=ggplot2
## https://cloud.r-project.org/package=dplyr
## https://cloud.r-project.org/package=tidyr
## https://cloud.r-project.org/package=readr
## https://cloud.r-project.org/package=purrr
## https://cloud.r-project.org/package=tibble
## https://cloud.r-project.org/package=stringr
## https://cloud.r-project.org/package=forcats
## https://cloud.r-project.org/package=lubridate
## Learn
## https://r4ds.had.co.nz/data-visualisation.html
## http://r4ds.had.co.nz/transform.html
## https://r4ds.hadley.nz/data-tidy
## http://r4ds.had.co.nz/data-import.html
## http://r4ds.had.co.nz/iteration.html
## https://r4ds.had.co.nz/tibbles.html
## http://r4ds.hadley.nz/strings.html
## http://r4ds.had.co.nz/factors.html
## https://r4ds.hadley.nz/datetimes.html

4.8.6.2.3 Subset We can subset sentences with 10 or more words

web_pages_txt_corpus para_long <- corpus_subset(web_pages_txt_corpus para, ntoken(web_pages_txt_corpus para_long)

[1] 212

summary(web_pages_txt_corpus para_long)

## Corpus consisting of 212 documents, showing 100 documents:

<table><thead><tr><th></th><th>Text</th><th>Types</th><th>Tokens</th><th>Sentences</th><th>name</th><th>version</th></tr></thead><tbody><tr><td>##</td><td>text1.1</td><td>45</td><td>68</td><td>1</td><td>ggplot2</td><td>4.0.1</td></tr><tr><td>##</td><td>text1.2</td><td>35</td><td>44</td><td>2</td><td>ggplot2</td><td>4.0.1</td></tr><tr><td>##</td><td>text1.4</td><td>17</td><td>20</td><td>1</td><td>ggplot2</td><td>4.0.1</td></tr><tr><td>##</td><td>text1.5</td><td>11</td><td>13</td><td>1</td><td>ggplot2</td><td>4.0.1</td></tr><tr><td>##</td><td>text1.6</td><td>17</td><td>27</td><td>1</td><td>ggplot2</td><td>4.0.1</td></tr><tr><td>##</td><td>text1.8</td><td>51</td><td>84</td><td>3</td><td>ggplot2</td><td>4.0.1</td></tr><tr><td>##</td><td>text1.10</td><td>13</td><td>19</td><td>1</td><td>ggplot2</td><td>4.0.1</td></tr><tr><td>##</td><td>text1.12</td><td>50</td><td>75</td><td>3</td><td>ggplot2</td><td>4.0.1</td></tr><tr><td>##</td><td>text1.13</td><td>24</td><td>24</td><td>2</td><td>ggplot2</td><td>4.0.1</td></tr><tr><td>##</td><td>text1.15</td><td>31</td><td>37</td><td>2</td><td>ggplot2</td><td>4.0.1</td></tr><tr><td>##</td><td>text1.16</td><td>35</td><td>48</td><td>2</td><td>ggplot2</td><td>4.0.1</td></tr><tr><td>##</td><td>text1.17</td><td>20</td><td>20</td><td>1</td><td>ggplot2</td><td>4.0.1</td></tr><tr><td>##</td><td>text1.18</td><td>18</td><td>18</td><td>1</td><td>ggplot2</td><td>4.0.1</td></tr><tr><td>##</td><td>text1.19</td><td>31</td><td>36</td><td>2</td><td>ggplot2</td><td>4.0.1</td></tr><tr><td>##</td><td>text1.20</td><td>49</td><td>63</td><td>3</td><td>ggplot2</td><td>4.0.1</td></tr></tbody></table>
<table>
  <tr>
    <td>text1.21</td>
    <td>13</td>
    <td>13</td>
    <td>1</td>
    <td>ggplot2</td>
    <td>4.0.1</td>
  </tr>
  <tr>
    <td>text1.23</td>
    <td>11</td>
    <td>11</td>
    <td>1</td>
    <td>ggplot2</td>
    <td>4.0.1</td>
  </tr>
  <tr>
    <td>text1.24</td>
    <td>18</td>
    <td>19</td>
    <td>1</td>
    <td>ggplot2</td>
    <td>4.0.1</td>
  </tr>
  <tr>
    <td>text1.25</td>
    <td>29</td>
    <td>35</td>
    <td>2</td>
    <td>ggplot2</td>
    <td>4.0.1</td>
  </tr>
  <tr>
    <td>text1.26</td>
    <td>57</td>
    <td>66</td>
    <td>1</td>
    <td>ggplot2</td>
    <td>4.0.1</td>
  </tr>
  <tr>
    <td>text1.28</td>
    <td>27</td>
    <td>36</td>
    <td>1</td>
    <td>ggplot2</td>
    <td>4.0.1</td>
  </tr>
  <tr>
    <td>text2.1</td>
    <td>42</td>
    <td>53</td>
    <td>2</td>
    <td>dplyr</td>
    <td>1.1.4</td>
  </tr>
  <tr>
    <td>text2.2</td>
    <td>21</td>
    <td>25</td>
    <td>1</td>
    <td>dplyr</td>
    <td>1.1.4</td>
  </tr>
  <tr>
    <td>text2.3</td>
    <td>34</td>
    <td>54</td>
    <td>1</td>
    <td>dplyr</td>
    <td>1.1.4</td>
  </tr>
  <tr>
    <td>text2.4</td>
    <td>43</td>
    <td>63</td>
    <td>3</td>
    <td>dplyr</td>
    <td>1.1.4</td>
  </tr>
  <tr>
    <td>text2.5</td>
    <td>21</td>
    <td>23</td>
    <td>1</td>
    <td>dplyr</td>
    <td>1.1.4</td>
  </tr>
  <tr>
    <td>text2.7</td>
    <td>26</td>
    <td>27</td>
    <td>2</td>
    <td>dplyr</td>
    <td>1.1.4</td>
  </tr>
  <tr>
    <td>text2.8</td>
    <td>22</td>
    <td>25</td>
    <td>1</td>
    <td>dplyr</td>
    <td>1.1.4</td>
  </tr>
  <tr>
    <td>text2.9</td>
    <td>15</td>
    <td>17</td>
    <td>2</td>
    <td>dplyr</td>
    <td>1.1.4</td>
  </tr>
  <tr>
    <td>text2.10</td>
    <td>15</td>
    <td>16</td>
    <td>2</td>
    <td>dplyr</td>
    <td>1.1.4</td>
  </tr>
  <tr>
    <td>text2.11</td>
    <td>30</td>
    <td>33</td>
    <td>2</td>
    <td>dplyr</td>
    <td>1.1.4</td>
  </tr>
  <tr>
    <td>text2.12</td>
    <td>15</td>
    <td>15</td>
    <td>1</td>
    <td>dplyr</td>
    <td>1.1.4</td>
  </tr>
  <tr>
    <td>text2.13</td>
    <td>10</td>
    <td>10</td>
    <td>1</td>
    <td>dplyr</td>
    <td>1.1.4</td>
  </tr>
  <tr>
    <td>text2.15</td>
    <td>17</td>
    <td>20</td>
    <td>1</td>
    <td>dplyr</td>
    <td>1.1.4</td>
  </tr>
  <tr>
    <td>text2.16</td>
    <td>13</td>
    <td>15</td>
    <td>1</td>
    <td>dplyr</td>
    <td>1.1.4</td>
  </tr>
  <tr>
    <td>text2.17</td>
    <td>21</td>
    <td>26</td>
    <td>1</td>
    <td>dplyr</td>
    <td>1.1.4</td>
  </tr>
  <tr>
    <td>text2.18</td>
    <td>12</td>
    <td>20</td>
    <td>1</td>
    <td>dplyr</td>
    <td>1.1.4</td>
  </tr>
  <tr>
    <td>text2.21</td>
    <td>72</td>
    <td>182</td>
    <td>1</td>
    <td>dplyr</td>
    <td>1.1.4</td>
  </tr>
  <tr>
    <td>text2.22</td>
    <td>50</td>
    <td>95</td>
    <td>1</td>
    <td>dplyr</td>
    <td>1.1.4</td>
  </tr>
  <tr>
    <td>text2.23</td>
    <td>58</td>
    <td>107</td>
    <td>1</td>
    <td>dplyr</td>
    <td>1.1.4</td>
  </tr>
  <tr>
    <td>text2.24</td>
    <td>80</td>
    <td>181</td>
    <td>1</td>
    <td>dplyr</td>
    <td>1.1.4</td>
  </tr>
  <tr>
    <td>text2.25</td>
    <td>49</td>
    <td>107</td>
    <td>1</td>
    <td>dplyr</td>
    <td>1.1.4</td>
  </tr>
  <tr>
    <td>text2.26</td>
    <td>30</td>
    <td>34</td>
    <td>2</td>
    <td>dplyr</td>
    <td>1.1.4</td>
  </tr>
  <tr>
    <td>text2.27</td>
    <td>24</td>
    <td>27</td>
    <td>2</td>
    <td>dplyr</td>
    <td>1.1.4</td>
  </tr>
  <tr>
    <td>text2.28</td>
    <td>44</td>
    <td>48</td>
    <td>1</td>
    <td>dplyr</td>
    <td>1.1.4</td>
  </tr>
  <tr>
    <td>text2.30</td>
    <td>14</td>
    <td>18</td>
    <td>1</td>
    <td>dplyr</td>
    <td>1.1.4</td>
  </tr>
  <tr>
    <td>text3.1</td>
    <td>35</td>
    <td>49</td>
    <td>2</td>
    <td>tidyr</td>
    <td>1.3.1</td>
  </tr>
  <tr>
    <td>text3.2</td>
    <td>15</td>
    <td>18</td>
    <td>2</td>
    <td>tidyr</td>
    <td>1.3.1</td>
  </tr>
  <tr>
    <td>text3.3</td>
    <td>14</td>
    <td>37</td>
    <td>3</td>
    <td>tidyr</td>
    <td>1.3.1</td>
  </tr>
  <tr>
    <td>text3.4</td>
    <td>43</td>
    <td>56</td>
    <td>3</td>
    <td>tidyr</td>
    <td>1.3.1</td>
  </tr>
  <tr>
    <td>text3.6</td>
    <td>17</td>
    <td>20</td>
    <td>1</td>
    <td>tidyr</td>
    <td>1.3.1</td>
  </tr>
  <tr>
    <td>text3.7</td>
    <td>11</td>
    <td>13</td>
    <td>1</td>
    <td>tidyr</td>
    <td>1.3.1</td>
  </tr>
  <tr>
    <td>text3.8</td>
    <td>17</td>
    <td>27</td>
    <td>1</td>
    <td>tidyr</td>
    <td>1.3.1</td>
  </tr>
  <tr>
    <td>text3.12</td>
    <td>32</td>
    <td>45</td>
    <td>2</td>
    <td>tidyr</td>
    <td>1.3.1</td>
  </tr>
  <tr>
    <td>text3.13</td>
    <td>29</td>
    <td>42</td>
    <td>2</td>
    <td>tidyr</td>
    <td>1.3.1</td>
  </tr>
  <tr>
    <td>text3.14</td>
    <td>33</td>
    <td>46</td>
    <td>2</td>
    <td>tidyr</td>
    <td>1.3.1</td>
  </tr>
  <tr>
    <td>text3.15</td>
    <td>24</td>
    <td>43</td>
    <td>2</td>
    <td>tidyr</td>
    <td>1.3.1</td>
  </tr>
  <tr>
    <td>text3.16</td>
    <td>24</td>
    <td>42</td>
    <td>1</td>
    <td>tidyr</td>
    <td>1.3.1</td>
  </tr>
  <tr>
    <td>text3.18</td>
    <td>32</td>
    <td>47</td>
    <td>2</td>
    <td>tidyr</td>
    <td>1.3.1</td>
  </tr>
  <tr>
    <td>text3.19</td>
    <td>10</td>
    <td>12</td>
    <td>1</td>
    <td>tidyr</td>
    <td>1.3.1</td>
  </tr>
  <tr>
    <td>text3.20</td>
    <td>21</td>
    <td>21</td>
    <td>1</td>
    <td>tidyr</td>
    <td>1.3.1</td>
  </tr>
</table>
<table><tr><td>text3.22</td><td>10</td><td>10</td><td>1</td><td>tidyr</td><td>1.3.1</td></tr><tr><td>text3.24</td><td>16</td><td>16</td><td>1</td><td>tidyr</td><td>1.3.1</td></tr><tr><td>text3.25</td><td>21</td><td>25</td><td>1</td><td>tidyr</td><td>1.3.1</td></tr><tr><td>text3.26</td><td>22</td><td>26</td><td>2</td><td>tidyr</td><td>1.3.1</td></tr><tr><td>text3.27</td><td>26</td><td>29</td><td>2</td><td>tidyr</td><td>1.3.1</td></tr><tr><td>text3.28</td><td>40</td><td>42</td><td>1</td><td>tidyr</td><td>1.3.1</td></tr><tr><td>text3.29</td><td>8</td><td>10</td><td>1</td><td>tidyr</td><td>1.3.1</td></tr><tr><td>text3.30</td><td>10</td><td>12</td><td>1</td><td>tidyr</td><td>1.3.1</td></tr><tr><td>text4.1</td><td>24</td><td>30</td><td>1</td><td>readr</td><td>2.1.6</td></tr><tr><td>text4.2</td><td>62</td><td>84</td><td>3</td><td>readr</td><td>2.1.6</td></tr><tr><td>text4.4</td><td>17</td><td>20</td><td>1</td><td>readr</td><td>2.1.6</td></tr><tr><td>text4.5</td><td>12</td><td>14</td><td>1</td><td>readr</td><td>2.1.6</td></tr><tr><td>text4.7</td><td>15</td><td>15</td><td>1</td><td>readr</td><td>2.1.6</td></tr><tr><td>text4.8</td><td>51</td><td>180</td><td>1</td><td>readr</td><td>2.1.6</td></tr><tr><td>text4.9</td><td>13</td><td>13</td><td>1</td><td>readr</td><td>2.1.6</td></tr><tr><td>text4.11</td><td>27</td><td>30</td><td>1</td><td>readr</td><td>2.1.6</td></tr><tr><td>text4.12</td><td>14</td><td>14</td><td>1</td><td>readr</td><td>2.1.6</td></tr><tr><td>text4.13</td><td>33</td><td>64</td><td>1</td><td>readr</td><td>2.1.6</td></tr><tr><td>text4.14</td><td>68</td><td>109</td><td>4</td><td>readr</td><td>2.1.6</td></tr><tr><td>text4.15</td><td>16</td><td>16</td><td>1</td><td>readr</td><td>2.1.6</td></tr><tr><td>text4.16</td><td>96</td><td>255</td><td>5</td><td>readr</td><td>2.1.6</td></tr><tr><td>text4.17</td><td>57</td><td>86</td><td>5</td><td>readr</td><td>2.1.6</td></tr><tr><td>text4.18</td><td>15</td><td>42</td><td>1</td><td>readr</td><td>2.1.6</td></tr><tr><td>text4.19</td><td>38</td><td>51</td><td>2</td><td>readr</td><td>2.1.6</td></tr><tr><td>text4.20</td><td>79</td><td>158</td><td>4</td><td>readr</td><td>2.1.6</td></tr><tr><td>text4.21</td><td>11</td><td>13</td><td>1</td><td>readr</td><td>2.1.6</td></tr><tr><td>text4.23</td><td>26</td><td>33</td><td>2</td><td>readr</td><td>2.1.6</td></tr><tr><td>text4.24</td><td>46</td><td>75</td><td>3</td><td>readr</td><td>2.1.6</td></tr><tr><td>text4.25</td><td>57</td><td>96</td><td>4</td><td>readr</td><td>2.1.6</td></tr><tr><td>text4.27</td><td>22</td><td>24</td><td>2</td><td>readr</td><td>2.1.6</td></tr><tr><td>text4.29</td><td>9</td><td>10</td><td>1</td><td>readr</td><td>2.1.6</td></tr><tr><td>text4.30</td><td>18</td><td>20</td><td>1</td><td>readr</td><td>2.1.6</td></tr><tr><td>text4.31</td><td>14</td><td>14</td><td>1</td><td>readr</td><td>2.1.6</td></tr><tr><td>text4.32</td><td>16</td><td>16</td><td>1</td><td>readr</td><td>2.1.6</td></tr><tr><td>text4.33</td><td>13</td><td>14</td><td>1</td><td>readr</td><td>2.1.6</td></tr><tr><td>text4.34</td><td>20</td><td>24</td><td>2</td><td>readr</td><td>2.1.6</td></tr><tr><td>text4.36</td><td>17</td><td>23</td><td>2</td><td>readr</td><td>2.1.6</td></tr><tr><td>text4.37</td><td>10</td><td>10</td><td>1</td><td>readr</td><td>2.1.6</td></tr><tr><td>text4.38</td><td>21</td><td>27</td><td>1</td><td>readr</td><td>2.1.6</td></tr></table>

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