formatted_text
stringlengths 238
378
|
|---|
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 legge condivisa da tutti per familiari persone fucilate e decimate è un riconoscimento importante ed atteso] = 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" [ sbraitava e capisco che si tratta della Persona che ha vinto l'ultimo Sanremo.TI RENDI CONTO?Xchè èStataPremiataUna\"cosa\"cosi!?] = 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" [Empoli: Daspo di 5 anni per un tifoso - Un ultrà 27enne colpì un supporter della Juve con una testata 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" [ E come se vogliamo vincerla forza ragazzi!!!!!!!] = 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 persone che non sanno amare e vale anche per gli etero!] = 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" [Scene da BraccialettiLive - Scarica l'App e Vinci il Set della 3a Serie! 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" [Io amo andare in centro a fare shopping] = 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" [Eravamo 4 ladri al bar ..... quando io dicevo che alla festa dell'Unità giravano soldi a nero ... il segretario... 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: 1242 di cibo! Hai controllato anche tu il tuo orticello! http #ipad #ipadgames #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" [ le graduatorie per chi deve partecipare alla vacanza inpdap poi in base alla posizione si sceglie dove andare :)] = 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 invece di fare progressi è tornata indietro e quelle cose me le sono venute a dire e da lì ho mandato anche la nostra amicizia a puttane] = 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" [Cris e Rocco - Scarica l'App e Vinci il Set della 3a Serie! 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" [#Nonbeccomailaporta Guarin stagione finita? Dai un po' di culo anche per noi 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" [\"non sono stati pubblicati perché c’erano cose più importanti da fare”( ha c.ca 4mila dipendenti e budget da 3mld)#editing] = 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" [Presenti 239 nuove #offerte di #lavoro per COMUNE #MILANO 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" [#WeAreHereForDecarli noi ci siamo sempre. Grazie per tutti i sorrisi ti amiamo castorino del nostro cuore. x23] = 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 non fosse che si sono già lasciati dovrei dare ragione a Madre che li vedeva bene in una puntata di amore criminale #uominiedonne] = 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 | #marito #cornuto #moglie | Donna Cerca Uomo Roma ARYIANI TRANS ASIATICA …LA TUA DEA DEL SESSO] = 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" [ perché ho sempre pensato che fossi bravo anche senza l'aiuto di fiorello stavi simpatico e facevi ridere] = 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" [ LAVORO:L'idea della rapina non era malema non dovevate farvi vedere in faccia!SALUTE: ora capite perché dal cinese si risparmia?] = 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" [A1 Roma-Napoli nebbia a banchi tra Colleferro (Km. 5925) e Anagni - Fiuggi (Km. 6035) dalle 06:14 del 01 mar 2015 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" [\"... Come il Padre ha amato me così anch'io ho amato voi. Rimanete nel mio amore ...\" 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" [ Bisognerebbe chiederlo a chi non la vota..Tutti furbi e poi votano altri xchè lei \"arrogante\"] = 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" [Salvini a Roma città blindata. 3 mila agenti 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" [ lo spero anche io!! Ho famissima *ridacchia*] = 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 odiano tutti simone o cosa? hahaha #Amici14] = 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" [Ciampino. Inizio controllo della velocità in via M. Calò. Guidare con prudenza.] = 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 bel buongiorno!!!!Grazie e baci.....buona giornata] = 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" [ le tue offese tanto non si discostano da quel fatidico \"SEI IL MALE\" fare le santarelle aiuta solo ad essere citate su un libro] = 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" [Oggi è la giornata della sorpresa] = 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" [ grazie a te Biagio!!!!!!!!] = 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 emozioni che ancora fanno piangere! Accidenti alla mi sensibilità] = 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" [Nickelodeon Kids’ Choice Awards: tutti i premi dei One Direction negli anni http via ] = 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" [ Grazie mille signor Vincenzo che belle foto saluti Non posso rispondere per DM perché non mi segui :(] = 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" [Una delle dissonanti nenie dei Flying Saucer Attack stavolta cantata da Rachel Brook (e suonata anche da Matt... 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" [Toni Cris e il regista - Scarica l'App e Vinci il Set della 3a Serie! 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 grazie. Ancora io uso spesso Lumia dove ci sono solo app non vostre... Posso usarle serenamente per aprire le auto?] = 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 delinquenti mandarli a casa subito #Italia fuori da legge dure vive in #ANARCHIA totale] = 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" [Cellulare alla guida record incidenti 2014: sms prima causa di scontri - Tgcom24] = 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" [Il mio piccolo amore mentre vede 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" [Che bisogno c'è delle riforme di Renzi? Perché non ascoltare Grillo Salvini Brunetta Vendola? In Italia va tutto così 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" [#frommywindow. Il cielo della Bassa. 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 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" [La lotta tra i professori universitari e il microfono è una costante. Ma alla fine vince il microfono sempre.] = 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" [G. Rossi. Italia Milano-Museo d'arte industriale http #Italie 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" [ Grazie a te perché pensi un po' a noi ! XX] = 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" [Mi sono sparato la D'Amico fino ad ora ma #Sconcerti proprio non ce la faccio. Notte a tutti e #finoallafineforzajuventus] = 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" [attivate le notifiche della frassy -> perchè fa sempre follow tricks e gruppi chat dm con 4/5 e 3/4!#WeLoveYouFrassy 27] = 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 a tutti! Nuova foto di Kristen in giro per LA con CJ e Suzie! Nana <3- Jules 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" [😒 cita e rispondi della noia 😒 quanto è stupida la nuova pubblicità della macchina dove c'è il nonno che prende il viagra ecc ecc?] = 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" [Carlo Degli Esposti - Scarica l'App e Vinci il Set della 3a Serie! 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" [ Ma grazie aww😍] = 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" [Fortuna che c'è Belen a fare video su ogni minimo sviluppo di suo figlio. Per i posteri questo è molto importante.] = 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" [06. Basta - Cata e i misteri della sfera: http tramite ] = 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" [Oggi i partecipanti da tutta Italia al #mediashow2015 (alunni e docenti) sono in visita a :) speriamo ci mandino tante foto #fb] = 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" [ buongiorno stavo vedendo la mia connessione e viaggio a 1 mega e mi va lentissima. Ma si può fare qualcosa?] = 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" [ fourian fare nanti datangla] = 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" [ da bambino mi ha fatto decidere per la carriera da programmatore... la scena in cui Flynn riassembla un intercettatore... 😌] = 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" [Potete anche non votare non contano nulla i vostri voti. Pagate solo lo stipendio all'orchestra #sanremo15] = 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" [Ecco cosa resta della Grecia dopo la cura della Troika 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" [ e di che tesoro?? Grazie a te per questa meraviglia 👏👏👏💙😘] = 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" [ purtroppo c'è gente che scrive solo x dimostrare che ha uno smartphone e quindi va bene qualunque cosa..purtroppo...] = 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" [“@psycothicbitch: 'cita e rispondi della quin💞' #beccaccinofotografare o essere fotografate?” Fotografare] = 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" [Grazie mille grazie a chi ci sta vicino.#SwiftiesAreHereForDirectioners] = 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" [ scusami ma dovete tutti soffrire] = 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" [#Roma #PiazzaDiSpagna pochi minuti fa. #NoComment #RomaFeyenoord 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" [ quando posso 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" [ nel quadrante della ruota della fortuna ci sarà pure una casella \" fermo un giro\" e \"perdi tutto\" i lupetti crescono tu no] = 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" [Aperto sull'A8 il nuovo svincolo Lainate-Arese http #varese #Milano] = 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 ringraziamento a tutti i clienti a quelli ke vengono da anni a quelli nuovi e a quelli ke lo diventeranno... 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" [ bene #disoccupati 50enni contenti della riforma costituzionale ora sappiamo cosa dare a mangiare ai nostri figli] = 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" [Inizia l'anno della capra. \"Perché è importante valorizzare questi animali secondo lei?\" 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" [ Grazie 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" [Chi di rosso si veste troppo della sua beltà si fida..... #festivaldisanremo] = 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" [Danze sfrenate - Scarica l'App e Vinci il Set della 3a Serie! 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" [Naturalmente Life con tutti suoi prodotti dall'efficacia garantita vi aspetta il giorno 20-21-22 Marzo 9:00 -... 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" [ è la sua vita a te cosa interessa? Sarà libera di fare quello che vuole! Avesse mai veramente offeso Harry ti capirei -] = 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" [Roma parla Florenzi: “La squadra merita i fischi Doumbia no. Europa League? Vogliamo andare lontano” 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" [Grazie a e a #GiacomoDiGirolamo per #DormonoSullaCollina http #SpoonRiver] = 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" [Dio quanto odio #Fringe] = 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" [I lavoratori della #Provincia di #Mantova in assemblea su #riordino istituzionale #Rsu2015 #SiamoUnAltraStoria 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" [Dear mrs 💖Potresti seguirmi? 💎Ti voglio bene🌸 x9] = 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" [Ultimamente le band sono divise in: chi molla e chi annuncia super tour dove ovviamente l'Italia NON ESISTE.] = 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" [Leo Vale e il regista - 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" [ arrivo amore 😘 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" [\" Senza te sento che la mia vita é difficile ma no é finita.. \"] = 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" [Epatite C: ritardi in tutta Italia la Sicilia non è nemmeno partita 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" [ esattamente! Anche se nella mia mente ho inventato il finale ahahah] = 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" [Fin'ora ha nevicato pochissimo... Quanto scommettiamo che ora che sto andando al bar con gli amici inizia a nevicare forte?] = 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" [http Sembra imminente la fusione tra Wind e 3 Italia. Ecco cosa cambia. #wind #3italia #telefonia #mobile #tre #fusione] = 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 ☺️ se hai posti liberi nel gruppo sull'app di braccialetti Rossi puoi aggiungermi? Myriam baldi posizione 14 Grazie ❤️] = 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 anche i fiori nel tavolo al parco??? Ma siamo seri???#ilsegreto] = 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" [ si paghiamo ancora l'accusa sul carburante] = 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" [La mia amika fa il compleanno quindi fatele tutti gli auguri! ❤❤❤ ] = 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" [Tutti gli stranieri sono orgogliosi della loro #patria.Tranne noi italiani che schifiamo l'#italia e ci vergognamo di essere italiani.] = 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' qui la festa? - 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" [ boh ..me lo chiedo ancora ..buon pomeriggio cara] = 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 lei comprende anche i veri motivi per cui l'hanno fatto la vergogna si trasforma in rabbia. ] = 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" [Il Corriere della Sera apre: \"Milan un miliardo di fastidi\" http #AgenteFifa #DavideFanizza] = 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" [Volevo augurarTi \"Buona Fortuna\" perché la Vita ha bisogno a volte solo di questo#BuonaFortuna] = positive |