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Analyze the sentiment of the news headline enclosed in square brackets, determine if it is positive, neutral, or negative, and return the answer as the corresponding sentiment label "positive" or "neutral" or "negative" [Uscire dal PD per fare i liberisti e rientrarci più liberista di te. Non so' se è peggio Inchino e Lanzillotta o il PD ora... #SceltaCivica] = negative |
Analyze the sentiment of the news headline enclosed in square brackets, determine if it is positive, neutral, or negative, and return the answer as the corresponding sentiment label "positive" or "neutral" or "negative" [Riuscire a dire cose che non hai gia pensato rinnova lo spirito giovane che anima la vita] = neutral |
Analyze the sentiment of the news headline enclosed in square brackets, determine if it is positive, neutral, or negative, and return the answer as the corresponding sentiment label "positive" or "neutral" or "negative" [ mi faresti felice se me la faresti fare con Louis :)] = positive |
Analyze the sentiment of the news headline enclosed in square brackets, determine if it is positive, neutral, or negative, and return the answer as the corresponding sentiment label "positive" or "neutral" or "negative" [ secondo me alla fine i tuoi capelli saranno così 👇😂 http] = negative |
Analyze the sentiment of the news headline enclosed in square brackets, determine if it is positive, neutral, or negative, and return the answer as the corresponding sentiment label "positive" or "neutral" or "negative" [Viareggio Cup: Inter-Verona 1-0 arriva Mancini ma Bonazzoli ha già fatto gol http] = neutral |
Analyze the sentiment of the news headline enclosed in square brackets, determine if it is positive, neutral, or negative, and return the answer as the corresponding sentiment label "positive" or "neutral" or "negative" [Nuovo post! IIF Carola Bacchioni: Nel novembre 2014 ho fatto un’esperienza bellissima. Sono stata una modella ... http] = positive |
Analyze the sentiment of the news headline enclosed in square brackets, determine if it is positive, neutral, or negative, and return the answer as the corresponding sentiment label "positive" or "neutral" or "negative" [Vi manderei tutti a fare in culo] = negative |
Analyze the sentiment of the news headline enclosed in square brackets, determine if it is positive, neutral, or negative, and return the answer as the corresponding sentiment label "positive" or "neutral" or "negative" [permettetemi di ricordarvi anche queste preview 1) http 2) http] = neutral |
Analyze the sentiment of the news headline enclosed in square brackets, determine if it is positive, neutral, or negative, and return the answer as the corresponding sentiment label "positive" or "neutral" or "negative" [ un amore nel momento del bisogno :)] = positive |
Analyze the sentiment of the news headline enclosed in square brackets, determine if it is positive, neutral, or negative, and return the answer as the corresponding sentiment label "positive" or "neutral" or "negative" [I test attitudinali devono farci fare col cazzo che le capre entrano all'Università così.] = negative |
Analyze the sentiment of the news headline enclosed in square brackets, determine if it is positive, neutral, or negative, and return the answer as the corresponding sentiment label "positive" or "neutral" or "negative" [Bea - Scarica l'App e Vinci il Set della 3a Serie! http http] = neutral |
Analyze the sentiment of the news headline enclosed in square brackets, determine if it is positive, neutral, or negative, and return the answer as the corresponding sentiment label "positive" or "neutral" or "negative" [@stringimiharold@Harry_Styles caga rorj o ti picchioe se magari caghi anche me non mi offendo eh hahaha] = positive |
Analyze the sentiment of the news headline enclosed in square brackets, determine if it is positive, neutral, or negative, and return the answer as the corresponding sentiment label "positive" or "neutral" or "negative" [ lo fa anche mio padre quando parla dei suoi amici. Li chiama ragazzi. Mah.] = negative |
Analyze the sentiment of the news headline enclosed in square brackets, determine if it is positive, neutral, or negative, and return the answer as the corresponding sentiment label "positive" or "neutral" or "negative" [Terrorismo: sparatoria alla sinagoga di Copenhagen 3 feriti http] = neutral |
Analyze the sentiment of the news headline enclosed in square brackets, determine if it is positive, neutral, or negative, and return the answer as the corresponding sentiment label "positive" or "neutral" or "negative" [ cIaO sEi Tu NeLlA fOtO?? 😂😂😂😂😂 ahahaha non puoi capì quanto è difficile scrivere così] = positive |
Analyze the sentiment of the news headline enclosed in square brackets, determine if it is positive, neutral, or negative, and return the answer as the corresponding sentiment label "positive" or "neutral" or "negative" [Al TG1 stanno definendo I Soliti Idioti \"cantanti\".... ....No non riesco a fare nemmeno una battuta è già abbastanza ridicolo così!] = negative |
Analyze the sentiment of the news headline enclosed in square brackets, determine if it is positive, neutral, or negative, and return the answer as the corresponding sentiment label "positive" or "neutral" or "negative" [Sono loro i comici della serata. #65 #Sanremo2015] = neutral |
Analyze the sentiment of the news headline enclosed in square brackets, determine if it is positive, neutral, or negative, and return the answer as the corresponding sentiment label "positive" or "neutral" or "negative" [Chiudo gli occhi e penso a leiIl profumo dolce della pelle suaE’ una voce dentro che mi sta portando dove nasce il sole] = positive |
Analyze the sentiment of the news headline enclosed in square brackets, determine if it is positive, neutral, or negative, and return the answer as the corresponding sentiment label "positive" or "neutral" or "negative" [ poi dico io ma puoi andare da uno che conosci a stendo e dirgli se ti può presentare qualcuno? ma quanto sei sfacciata?] = negative |
Analyze the sentiment of the news headline enclosed in square brackets, determine if it is positive, neutral, or negative, and return the answer as the corresponding sentiment label "positive" or "neutral" or "negative" [Lo sguardo di Bea - Scarica l'App e Vinci il Set della 3a Serie! http http] = neutral |
Analyze the sentiment of the news headline enclosed in square brackets, determine if it is positive, neutral, or negative, and return the answer as the corresponding sentiment label "positive" or "neutral" or "negative" [ bene dai] = positive |
Analyze the sentiment of the news headline enclosed in square brackets, determine if it is positive, neutral, or negative, and return the answer as the corresponding sentiment label "positive" or "neutral" or "negative" [Non ci si sposa prima dei 26 anni. Prima regola di vita. Trascrivete e appendete al muro di cameretta povery che non siete altro.] = negative |
Analyze the sentiment of the news headline enclosed in square brackets, determine if it is positive, neutral, or negative, and return the answer as the corresponding sentiment label "positive" or "neutral" or "negative" [Anagni. Scuolabus ribaltato; nessun ferito; http] = neutral |
Analyze the sentiment of the news headline enclosed in square brackets, determine if it is positive, neutral, or negative, and return the answer as the corresponding sentiment label "positive" or "neutral" or "negative" [Amore voglio un bambino] = positive |
Analyze the sentiment of the news headline enclosed in square brackets, determine if it is positive, neutral, or negative, and return the answer as the corresponding sentiment label "positive" or "neutral" or "negative" [Non ne posso più della pioggiaaa!] = negative |
Analyze the sentiment of the news headline enclosed in square brackets, determine if it is positive, neutral, or negative, and return the answer as the corresponding sentiment label "positive" or "neutral" or "negative" [Istat: crollano le nascite sale numero stranieri residenti in Italia (AGI - Agenzia Giornalistica Italia) http] = neutral |
Analyze the sentiment of the news headline enclosed in square brackets, determine if it is positive, neutral, or negative, and return the answer as the corresponding sentiment label "positive" or "neutral" or "negative" [ ci hai illuse😂😪Vabbè oltre ad essere un cantante perfetto sei anche un tatuatore] = positive |
Analyze the sentiment of the news headline enclosed in square brackets, determine if it is positive, neutral, or negative, and return the answer as the corresponding sentiment label "positive" or "neutral" or "negative" [#qcc Se i mimmo boys alzavano la barbie umana come hanno fatto con katia le si staccavano le braccia] = negative |
Analyze the sentiment of the news headline enclosed in square brackets, determine if it is positive, neutral, or negative, and return the answer as the corresponding sentiment label "positive" or "neutral" or "negative" [Raccolto preso: 480 di cibo! Hai controllato anche tu il tuo orticello! http #iphone #iphonegames #gameinsight] = neutral |
Analyze the sentiment of the news headline enclosed in square brackets, determine if it is positive, neutral, or negative, and return the answer as the corresponding sentiment label "positive" or "neutral" or "negative" [#sanremo15 lodi lodi lodi per hai convinto tutti congrats] = positive |
Analyze the sentiment of the news headline enclosed in square brackets, determine if it is positive, neutral, or negative, and return the answer as the corresponding sentiment label "positive" or "neutral" or "negative" [Ma le persone oltre ad usarti e a cercarti quando vogliono sanno voler bene?] = negative |
Analyze the sentiment of the news headline enclosed in square brackets, determine if it is positive, neutral, or negative, and return the answer as the corresponding sentiment label "positive" or "neutral" or "negative" [La mia vita scandita da #SkyAtlantic e #SkyArte] = neutral |
Analyze the sentiment of the news headline enclosed in square brackets, determine if it is positive, neutral, or negative, and return the answer as the corresponding sentiment label "positive" or "neutral" or "negative" [Dai ritorna canta ancora ti prego#EdSheeranSanremo2015] = positive |
Analyze the sentiment of the news headline enclosed in square brackets, determine if it is positive, neutral, or negative, and return the answer as the corresponding sentiment label "positive" or "neutral" or "negative" [Raga la mia vita è finita dopo la verifica di storia quasi come quella di napoleone dopo la sconfitta di waterloo] = negative |
Analyze the sentiment of the news headline enclosed in square brackets, determine if it is positive, neutral, or negative, and return the answer as the corresponding sentiment label "positive" or "neutral" or "negative" [l'inammissibilità della prova testimoniale può essere eccepita solo dall'interessato prima... http] = neutral |
Analyze the sentiment of the news headline enclosed in square brackets, determine if it is positive, neutral, or negative, and return the answer as the corresponding sentiment label "positive" or "neutral" or "negative" [ Grande Mila! Orgogliosa e felice che tu faccia parte della Direzione del PD ] = positive |
Analyze the sentiment of the news headline enclosed in square brackets, determine if it is positive, neutral, or negative, and return the answer as the corresponding sentiment label "positive" or "neutral" or "negative" [“@tomei_carlo: fottiti tu e tutti rubentini come teringraziate gli arbitri italiani.la supercoppa rimasta in gola ] = negative |
Analyze the sentiment of the news headline enclosed in square brackets, determine if it is positive, neutral, or negative, and return the answer as the corresponding sentiment label "positive" or "neutral" or "negative" [ MENTARI DE MARELLE DIGANDENG MESRA AL GHAZALI SEBULAN DI ITALIA Cek di http] = neutral |
Analyze the sentiment of the news headline enclosed in square brackets, determine if it is positive, neutral, or negative, and return the answer as the corresponding sentiment label "positive" or "neutral" or "negative" [Che poi domani dovrei andare a scuola ma mia mamma mi fa stare a casa :)] = positive |
Analyze the sentiment of the news headline enclosed in square brackets, determine if it is positive, neutral, or negative, and return the answer as the corresponding sentiment label "positive" or "neutral" or "negative" [Ora io non vorrei fare benaltrismo ma ci rendiamo conto che ci sono accuse di terrorismo verso i #notav ?Giusto il senso della misura.] = negative |
Analyze the sentiment of the news headline enclosed in square brackets, determine if it is positive, neutral, or negative, and return the answer as the corresponding sentiment label "positive" or "neutral" or "negative" [ Alessandro #Bergonzoni Contro lo #stigma nei confronti della malattia mentale #passaparola http] = neutral |
Analyze the sentiment of the news headline enclosed in square brackets, determine if it is positive, neutral, or negative, and return the answer as the corresponding sentiment label "positive" or "neutral" or "negative" [ #Amici14 Briga tutta la vita.....] = positive |
Analyze the sentiment of the news headline enclosed in square brackets, determine if it is positive, neutral, or negative, and return the answer as the corresponding sentiment label "positive" or "neutral" or "negative" [ dopo che l'ansa ha riportato la notizia che la fed ha staccato un assegno da quasi 100 miliardi al tesoro USA ancora parlano???] = negative |
Analyze the sentiment of the news headline enclosed in square brackets, determine if it is positive, neutral, or negative, and return the answer as the corresponding sentiment label "positive" or "neutral" or "negative" [Gnocchetti alla provola con radicchio | Sale&Pepe http] = neutral |
Analyze the sentiment of the news headline enclosed in square brackets, determine if it is positive, neutral, or negative, and return the answer as the corresponding sentiment label "positive" or "neutral" or "negative" [ complimenti a tutti e in particolare a per gli occhiali nuovi] = positive |
Analyze the sentiment of the news headline enclosed in square brackets, determine if it is positive, neutral, or negative, and return the answer as the corresponding sentiment label "positive" or "neutral" or "negative" [Cioè appena arrivata io tutta 'grazie leader' e lei manco mi caga la odio addio] = negative |
Analyze the sentiment of the news headline enclosed in square brackets, determine if it is positive, neutral, or negative, and return the answer as the corresponding sentiment label "positive" or "neutral" or "negative" [Amici 14: un triangolo amoroso crea caos nella scuola – Gossip e Tv http] = neutral |
Analyze the sentiment of the news headline enclosed in square brackets, determine if it is positive, neutral, or negative, and return the answer as the corresponding sentiment label "positive" or "neutral" or "negative" [Se arriva anche Zappacosta sarebbe davvero un gran colpo.] = positive |
Analyze the sentiment of the news headline enclosed in square brackets, determine if it is positive, neutral, or negative, and return the answer as the corresponding sentiment label "positive" or "neutral" or "negative" [ anche io non credo ma è comunque una mancanza di rispetto nei suoi confronti. Sapevano che ci teneva non è stato corretto] = negative |
Analyze the sentiment of the news headline enclosed in square brackets, determine if it is positive, neutral, or negative, and return the answer as the corresponding sentiment label "positive" or "neutral" or "negative" [Alla conferenza stampa 2015 con follow #SMWmilan http] = neutral |
Analyze the sentiment of the news headline enclosed in square brackets, determine if it is positive, neutral, or negative, and return the answer as the corresponding sentiment label "positive" or "neutral" or "negative" [ Buongiorno bellezza!!!! Complimenti anche con questo bustino sei super] = positive |
Analyze the sentiment of the news headline enclosed in square brackets, determine if it is positive, neutral, or negative, and return the answer as the corresponding sentiment label "positive" or "neutral" or "negative" [ A me sembra una stronzata della quale dovresti vergognarti.] = negative |
Analyze the sentiment of the news headline enclosed in square brackets, determine if it is positive, neutral, or negative, and return the answer as the corresponding sentiment label "positive" or "neutral" or "negative" [Settore giovanile il programma della settimana http] = neutral |
Analyze the sentiment of the news headline enclosed in square brackets, determine if it is positive, neutral, or negative, and return the answer as the corresponding sentiment label "positive" or "neutral" or "negative" [Alla fine abbiamo messo \"La Sposa Cadavere\" non mi dispiace infatti.] = positive |
Analyze the sentiment of the news headline enclosed in square brackets, determine if it is positive, neutral, or negative, and return the answer as the corresponding sentiment label "positive" or "neutral" or "negative" [ io non sono d'accordo che abbiano nominato grand Budapest hotel e il libro della vita] = negative |
Analyze the sentiment of the news headline enclosed in square brackets, determine if it is positive, neutral, or negative, and return the answer as the corresponding sentiment label "positive" or "neutral" or "negative" [ MYGENOO IL PRIMO SOCIAL IN ITALIA DOVE PUBBLICARE E CONDIVIDERE I TUOI ANNUNCI GRATUITAMENTEhttp] = neutral |
Analyze the sentiment of the news headline enclosed in square brackets, determine if it is positive, neutral, or negative, and return the answer as the corresponding sentiment label "positive" or "neutral" or "negative" [A tutti voi con carica vi do il buongiornooooo http] = positive |
Analyze the sentiment of the news headline enclosed in square brackets, determine if it is positive, neutral, or negative, and return the answer as the corresponding sentiment label "positive" or "neutral" or "negative" [Ciao dopo che hai insultato i napoletani ora li difendi. Sei mitica!! Cmq tre pere] = negative |
Analyze the sentiment of the news headline enclosed in square brackets, determine if it is positive, neutral, or negative, and return the answer as the corresponding sentiment label "positive" or "neutral" or "negative" [ e non ci sono alla festa] = neutral |
Analyze the sentiment of the news headline enclosed in square brackets, determine if it is positive, neutral, or negative, and return the answer as the corresponding sentiment label "positive" or "neutral" or "negative" [Va bene va bene guardate Sanremo...Tanto fra qualche giorno esce il primo video estratto dal live dei Just for Fun :D — su di giri] = positive |
Analyze the sentiment of the news headline enclosed in square brackets, determine if it is positive, neutral, or negative, and return the answer as the corresponding sentiment label "positive" or "neutral" or "negative" [ dopo la bestemmia passi all'economia: qui stiamo parlando di terroristi che uccidono chi non si piega ai loro diktat.] = negative |
Analyze the sentiment of the news headline enclosed in square brackets, determine if it is positive, neutral, or negative, and return the answer as the corresponding sentiment label "positive" or "neutral" or "negative" [LINK: http | #sessoorale #sessoamatoriale #incontrionline | Donna Cerca Uomo Roma classe e dolcezza] = neutral |
Analyze the sentiment of the news headline enclosed in square brackets, determine if it is positive, neutral, or negative, and return the answer as the corresponding sentiment label "positive" or "neutral" or "negative" [ Sono stato tra i primi 6 ho guardato! Grazie <3] = positive |
Analyze the sentiment of the news headline enclosed in square brackets, determine if it is positive, neutral, or negative, and return the answer as the corresponding sentiment label "positive" or "neutral" or "negative" [Cambiare e' possibile basta volerlo. Anche Mastrota e' passato dai materassi ai box doccia..] = negative |
Analyze the sentiment of the news headline enclosed in square brackets, determine if it is positive, neutral, or negative, and return the answer as the corresponding sentiment label "positive" or "neutral" or "negative" [Tutti Frutti http] = neutral |
Analyze the sentiment of the news headline enclosed in square brackets, determine if it is positive, neutral, or negative, and return the answer as the corresponding sentiment label "positive" or "neutral" or "negative" [ Metteresti mi piace qui? Ricambio in qualsiasi modo❤Grazie se lo fai ❤ http] = positive |
Analyze the sentiment of the news headline enclosed in square brackets, determine if it is positive, neutral, or negative, and return the answer as the corresponding sentiment label "positive" or "neutral" or "negative" [ livelli alti non scherziamosi parlava che l'amore è cieco...Io direi anche che la gente è sorda...] = negative |
Analyze the sentiment of the news headline enclosed in square brackets, determine if it is positive, neutral, or negative, and return the answer as the corresponding sentiment label "positive" or "neutral" or "negative" [ fllbck della] = neutral |
Analyze the sentiment of the news headline enclosed in square brackets, determine if it is positive, neutral, or negative, and return the answer as the corresponding sentiment label "positive" or "neutral" or "negative" [: 🌴Cita e rispondi - Old Magcon🍍Foto preferita di Matt? Amore mio http] = positive |
Analyze the sentiment of the news headline enclosed in square brackets, determine if it is positive, neutral, or negative, and return the answer as the corresponding sentiment label "positive" or "neutral" or "negative" [Partecipa anche tu al nuovissimo #giveawaydelcavolo in collaborazione con il nuovo sponsor… http] = negative |
Analyze the sentiment of the news headline enclosed in square brackets, determine if it is positive, neutral, or negative, and return the answer as the corresponding sentiment label "positive" or "neutral" or "negative" [Raccolto preso: 972 di cibo! Hai controllato anche tu il tuo orticello! http #iphone #iphonegames #gameinsight] = neutral |
Analyze the sentiment of the news headline enclosed in square brackets, determine if it is positive, neutral, or negative, and return the answer as the corresponding sentiment label "positive" or "neutral" or "negative" [Harry mi ha fatto letteralmente perdere la testa. by harrystringimi] = positive |
Analyze the sentiment of the news headline enclosed in square brackets, determine if it is positive, neutral, or negative, and return the answer as the corresponding sentiment label "positive" or "neutral" or "negative" [“@alloveragainlh: domani io vs il mondo esattamente come osvaldo vs icardi vaffanculo spintoni e paroloni a tutti”] = negative |
Analyze the sentiment of the news headline enclosed in square brackets, determine if it is positive, neutral, or negative, and return the answer as the corresponding sentiment label "positive" or "neutral" or "negative" [#giustizia #avvocati #ferie (Se alla fine il taglio delle ferie vale per gli avvocati ma non per i giudici) http] = neutral |
Analyze the sentiment of the news headline enclosed in square brackets, determine if it is positive, neutral, or negative, and return the answer as the corresponding sentiment label "positive" or "neutral" or "negative" [Alla ricerca del niruana ✋😽😂 #federaicamaggiorenne #ellapeppa #bellasssei http] = positive |
Analyze the sentiment of the news headline enclosed in square brackets, determine if it is positive, neutral, or negative, and return the answer as the corresponding sentiment label "positive" or "neutral" or "negative" [ no certo... E sopratutto spesso è anche colpa di terzi.] = negative |
Analyze the sentiment of the news headline enclosed in square brackets, determine if it is positive, neutral, or negative, and return the answer as the corresponding sentiment label "positive" or "neutral" or "negative" [Schaeuble \"Renzi ha fatto le riforme necessarie per l'Italia\" http] = neutral |
Analyze the sentiment of the news headline enclosed in square brackets, determine if it is positive, neutral, or negative, and return the answer as the corresponding sentiment label "positive" or "neutral" or "negative" [#BrigaAMICI che difendeva Gabrieleè l'amore.❤😍] = positive |
Analyze the sentiment of the news headline enclosed in square brackets, determine if it is positive, neutral, or negative, and return the answer as the corresponding sentiment label "positive" or "neutral" or "negative" [#BoldiPresidenteRepubblica a a a mi sto cagando addosso più fagioli alla john wayne per tutti ] = negative |
Analyze the sentiment of the news headline enclosed in square brackets, determine if it is positive, neutral, or negative, and return the answer as the corresponding sentiment label "positive" or "neutral" or "negative" [Italia e Gaby sao tao ingenuas #LevantaEsseAstralGaby] = neutral |
Analyze the sentiment of the news headline enclosed in square brackets, determine if it is positive, neutral, or negative, and return the answer as the corresponding sentiment label "positive" or "neutral" or "negative" [ sarai anche da qui...il suo orgoglio!!!] = positive |
Analyze the sentiment of the news headline enclosed in square brackets, determine if it is positive, neutral, or negative, and return the answer as the corresponding sentiment label "positive" or "neutral" or "negative" [“@Baciamierculo: 👅💦 Cita e rispondi della Els 👅💦Una figura di merda che hai fatto?” Ne ho fatte tantenon riesco a sceglierne una..] = negative |
Analyze the sentiment of the news headline enclosed in square brackets, determine if it is positive, neutral, or negative, and return the answer as the corresponding sentiment label "positive" or "neutral" or "negative" [Borsa: Milano apre incerta +004% http #gzagato] = neutral |
Analyze the sentiment of the news headline enclosed in square brackets, determine if it is positive, neutral, or negative, and return the answer as the corresponding sentiment label "positive" or "neutral" or "negative" [Quanto vorremmo abbracciarli.. #OTRALIVESTREAM http] = positive |
Analyze the sentiment of the news headline enclosed in square brackets, determine if it is positive, neutral, or negative, and return the answer as the corresponding sentiment label "positive" or "neutral" or "negative" [ te ce porto io a vede' Roma. E la fontana l'hanno chiusa piango.P.s rispondi ai dm lol.] = negative |
Analyze the sentiment of the news headline enclosed in square brackets, determine if it is positive, neutral, or negative, and return the answer as the corresponding sentiment label "positive" or "neutral" or "negative" [#UNIFIL 1° tripartite meeting dopo uccisione casco blu Clima preoccupazione per sicurezza http] = neutral |
Analyze the sentiment of the news headline enclosed in square brackets, determine if it is positive, neutral, or negative, and return the answer as the corresponding sentiment label "positive" or "neutral" or "negative" [ Perchè lui è la mia fottuta vita. HO BISOGNO DI LUI. Dammi un' opportunitá. Te lo chiedo con tutta l'anima #silvshelpme x129] = positive |
Analyze the sentiment of the news headline enclosed in square brackets, determine if it is positive, neutral, or negative, and return the answer as the corresponding sentiment label "positive" or "neutral" or "negative" [C'è ancora qualcuno ? #Rt seguimi e ti seguo. Non so cosa fare e non sto nemmeno bene c.c shit] = negative |
Analyze the sentiment of the news headline enclosed in square brackets, determine if it is positive, neutral, or negative, and return the answer as the corresponding sentiment label "positive" or "neutral" or "negative" [ qualche classifica riguardo alla musica(cantanti preferiti cd preferiti..)oppure le tue prime cose musicali (cd concerti..)] = neutral |
Analyze the sentiment of the news headline enclosed in square brackets, determine if it is positive, neutral, or negative, and return the answer as the corresponding sentiment label "positive" or "neutral" or "negative" [“@django162_: solo un dm la pregooo...se nn le piaccio mi def ok?😜😂” vita mia] = positive |
Analyze the sentiment of the news headline enclosed in square brackets, determine if it is positive, neutral, or negative, and return the answer as the corresponding sentiment label "positive" or "neutral" or "negative" [Quanto tempo perdido] = negative |
Analyze the sentiment of the news headline enclosed in square brackets, determine if it is positive, neutral, or negative, and return the answer as the corresponding sentiment label "positive" or "neutral" or "negative" [#follownow #PeachesFollowTrain AUTO FOLLOW BACK!!! #FOLLOWME seguimi e tutti quelli che retweettano!] = neutral |
Analyze the sentiment of the news headline enclosed in square brackets, determine if it is positive, neutral, or negative, and return the answer as the corresponding sentiment label "positive" or "neutral" or "negative" [ bene tesoro tu?💕] = positive |
Analyze the sentiment of the news headline enclosed in square brackets, determine if it is positive, neutral, or negative, and return the answer as the corresponding sentiment label "positive" or "neutral" or "negative" [ Ponte crollato Renzi: chi ha sbagliato pagherà tutto. Chi ci crede..?] = negative |
Analyze the sentiment of the news headline enclosed in square brackets, determine if it is positive, neutral, or negative, and return the answer as the corresponding sentiment label "positive" or "neutral" or "negative" [Foto: I BR alla Fiera del Levante - Scarica l'app e diventa un braccialetto http http] = neutral |
Analyze the sentiment of the news headline enclosed in square brackets, determine if it is positive, neutral, or negative, and return the answer as the corresponding sentiment label "positive" or "neutral" or "negative" [l'interpretazione dei sogni è la mia vita] = positive |
Analyze the sentiment of the news headline enclosed in square brackets, determine if it is positive, neutral, or negative, and return the answer as the corresponding sentiment label "positive" or "neutral" or "negative" [ Se tu mi dai della decerebrata io ti do della minchiona se ci tieni lo riconfermo. Quindi?] = negative |
Analyze the sentiment of the news headline enclosed in square brackets, determine if it is positive, neutral, or negative, and return the answer as the corresponding sentiment label "positive" or "neutral" or "negative" [ *tira anche lui fuori i canini* no!] = neutral |
Analyze the sentiment of the news headline enclosed in square brackets, determine if it is positive, neutral, or negative, and return the answer as the corresponding sentiment label "positive" or "neutral" or "negative" [Cari igers con questo bellissimo scatto di che immortala un aereo mentre passa tra i grattacieli della F… http] = positive |
Analyze the sentiment of the news headline enclosed in square brackets, determine if it is positive, neutral, or negative, and return the answer as the corresponding sentiment label "positive" or "neutral" or "negative" [Ci sono situazioni in cui ti trovi a disagio rimanere ma anche ad andartene e non sai cosa fare-] = negative |