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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" [No, : è la via che propone #Grillo per trasformare l'Italia in un regime peronista di stampo centroamericano. Il suo sogno.] = 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" [Eh buonanotte] = 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 :) me ne ricorderò.] = 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" [ho fatto un casino, devo rimediare.] = 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" [TT ITALIA 22:48 1.#Grillo 2.#serviziopubblico 3.#piazzapulita 4.Prince Of Persia 5.Franca Rame 6.Nero Wolfe 7.Partito della Nazione] = 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" [Forza ragazzi...siamo sempre con voi! 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" [http via Quindi dopo averla creata adesso la rinnega e addirittura istiga contro ?!? #ideechiare #imu] = 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" [ Eh, ti dico dopo :) <3] = 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" [ hai rotto le balle con sta storia della suoneria. Ahah scherzo sei un Figo ;) sempre simpaticissimo ;)] = 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 non avete capito, è tutta una manovra del governo Monti per far avere la settimana bianca a tutti nonostante la crisi... #neve #roma] = 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" [Mi sono iscritto a Tiscali Socialnews: iscriviti anche tu!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" [ #Grillo #Piazzapulita #sapevatelo #la7 #Monti Forza Beppeeeeee!] = 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" [E' ingiusto non restaurare tutte le opere,ma dovendo scegliere,il mio voto va al Perugino. [Ormai è tutto un Reality] 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" [ Aahahah non lo so.... anche io l'ho pensato...buh magari ha una pronuncia diversa...lol] = 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" [Voglio affogare lì dentro :Q_ #lafabbricadicioccolato] = 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 c'è una cosa detta o fatta da sto governo #Monti che non mi disgusti dal profondo, credo. C'ho riflettuto, ma non ne ho trovata nessuna.] = 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" [CACERES A MP: \"Era una partita importante, da oggi pensiamo alla Lazio\": Martin Caceres ha commentato ai microfo... 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 mille francy :) sei gentilissima baciiii ( 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" [#Pisapia a #inmezzora parla del rischio che il governo #Monti spacchi il centrosinistra] = 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" [Obama risponde in diretta su YouTube (#ObamaHangOut) invece: Governo Monti, dialogo con i cittadini anche via mail 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" [ sto anche facendo pausa con yogurt...ottimo parlare di ste cose...#solocosebelle e buone!!!yeeesss ma venite in camper?] = 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" [ Siate folli, ma soprattutto siate affamati. [cit. Mario Monti presenta la sua manovra]] = 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" [devo andare a fare i compiti....eppure sono qui, ad ascoltare i The Pretty Reckless. #qualcunomitolgalecuffiette] = 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 :)] = 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" [e poi, io devo ancora guardarmi il docu-film sui doors narrato da Morgan, ma non ce la faccio. è più forte di me.] = 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" [#Grillo vuole giudicare pubblicamente i politici corrotti: il processo di No-rimb-sberla ..sarà previsto anche l'olio di ricino?] = 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 non ti giudicavo. Ti facevo notare che esiste un programma ben preciso di #Grillo e anche suoi referendum sepolti al senato] = 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" [Liberalizzazioni: il governo Monti può fare di più – L'INTERVISTA 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" [ che avete combinato in mia assenza? =P avete fatto le brave?! xD] = 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" [ Aw, ma anch'io *abbraccia*] = 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" [Mario #Monti è passato da #monogamia a #monotonia.] = 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" [A caccia di tabacco inglese #dunhill (@ Stazione Milano Centrale w/ 14 others) 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" [...il fatto che Di Pietro non sia d'accordo su Mario Monti Premier conferma senza ombra di dubbio che sia la scelta giusta ! Cit. Gabri] = 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" [altro che 140 caratteri, mi ci vorrebbe il rotolo di carta igienica #Foxy per dire giusto due cosette a nonno Mario #Monti #monotonia] = 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" [Io ho scoperto ora qual'é il mio nome indiano! Provaci anche Tu:... 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" [Semplicemente, banalmente, il mondo sarebbe peggiore senza tutto il bene fatto da chi non c'e' più. #2novembre] = 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 poi, a guardare bene, l'unica differenza è che #Grillo è delNord, e #Cettolaqualunque del sud. Suv compresi.] = 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" [#Grillo vuole sottolineare la distanza che ha la politica dalla vita reale. #Piazzapulita] = 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" [ anche a me piace la tua! :))] = 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" [ molto più grande di te?mah..comunque si deve avere rispetto x il ruolo! Sarà stato come i charmings,più idiota che narciso] = 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" [da dove le prendi le frasi che scrivi su tumblr? — canzoni 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" [ http NO STO MALE. SONO TROPPO BELLI.] = 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" [D'Alema #Grillo a Civitavecchia in definitiva è un mix tra il primo Bossi e il Gabibbo. Quello che ha governato l'Italia negli ultimi15 anni] = 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" [Stipendificio Unical | Corriere della Calabria 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" [ buona giornata anche a te ! :) 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" [Inizio a subire i primi effetti dello Stato di Polizia inaugurato dal governo #Monti] = 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" [ hei c: potresti seguirmi in grazie se lo fai c: io ricambio da qui **] = 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, grazie (?) u.ù] = 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" [Governo fantoccio in Italia Mario Monti ha contribuito a creare il disastro 360p 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" [Il Governo Monti, la politica e la gente 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" [Demi sei figa e il tuo ragazzo nel video ancora di più. #GYHAB] = 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 dc si riunisce nuovamente. In occasione del governo Monti #rimontiamo #opencamera #doposilvio] = 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 «decreto salva-Italia» a Servizio Pubblico: Il programma di Santoro sulle misure del governo Monti 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" [Buon lavoro Governo Monti #montihope portaci al sicuro] = 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" [ bah, il lato politicizzato dei ratm mi ha sempre lasciato perplesso... dei korn potremmo anche evitare di parlarne.] = 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" [Grazie a Sandro Ruotolo, Giulia Guazzaloca, Giovanni Gozzini e alle >150 persone che hanno partecipato ai seminari su televisione in Italia.] = 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" [I mercati hanno apprezzato moltissimo il primo giorno di governo #Monti Ora Lavurà lavurà lavurà ] = 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" [ si certo! :) allora un genio ha fatto questo TT #BestModestManagementFails e ora tutte le directioners del mondo stanno-] = 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'Unione europea e il Governo Monti insieme nel tentativo di incrementare l'accesso ai farmaci generici 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 troppo gentile :-)] = 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 Uno di quei personaggi inutili e con un nome ridicolo] = 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" [Per SWG il movimento di Beppe #Grillo è il terzo partito al 7,2. Con quello che c'è adesso anche un comico potrebbe essere #premier] = 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" [ mora 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" [ Ma Ferrero? il compagno Ferrero? ma il suo partito esiste ancora? allora stiamo proprio frecati !!!] = 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" [intensità di vita 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" [Non vedi l'ora che venga qui almeno lo sentirò più spesso e potrò finalmente stare con lui alla faccia di chi mi ha friendzonato.] = 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" [ solo che poi arriva e decide sempre tutto lui] = 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" [Anche prodotti alimentari tipici pugliesi in vendita su http Tutto per tutti dappertutto... 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" [ Tutta la pasticceria! 💏 Grazie amore mio! ❤] = 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 mi stai cazzo troia] = 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" [Anche l'Austria chiude le frontiere: In Europa è ancora caos per l&#39;immigrazione e il flusso di migranti. O... 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" [Perché alla fine siamo una famiglia e la famiglia non va mai abbandonata💕 #WeWillMeetAgain1D 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" [ calcio è la quintessenza della noia. Sport frenetici come basket o volley 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" [Oggi siamo a #Piacenza alla presentazione di #OroRosso il festival dedicato al pomodoro del Nord dal 2 al 4 ottobre 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!Mia sorella ha un canale YouTube che si chiama corinnelife97potresti visitarlo e iscriverti se ti piace?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" [cazzo sono tutti sti tweet in tl di \"innocente\" \"colpevole\" ao] = 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" [Movimento Eticonomico02/09/2015 Ore 20:30 - CERVETERI (RM)Agriturismo Borgo Dell'Aschetto - Via Fosso Della Cerqueta 30] = 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 bellezza della mie Steve Madden Fringly 💗 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" [ però ha detto che è collegato positivamente alla pedofilia quindi ci vede qualcosa di buono] = 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" [Milano: prima e dopo il passaggio di Pisapippa #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" [La più grande prova d'amore è sempre stata togliersi dai coglioni.] = 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" [ Quando invece riaprii i miei occhi mi accorsi che non era un sogno...Era tutto nitido e reale!Grigio e freddo...] = 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' morto a Pietrasanta lo scrittore Manlio Cancogni: Aveva 99 anni in lutto il mondo della cultura. Con i su... 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" [– tomlinsik;Profilo molto carino in generale abbinato molto bene.] = 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 faccio di tutto e lei ha ancora la faccia di ignorarmi perché sono così stupida? L'avrei dovuta mandare a fanculo da tempo.] = 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" [Chiacchieriamo • Re: lunedì 31 agosto 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" [ prima ora e dopo 😍😍😚] = 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 ti odio da uno a dieci] = 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" [Ultime ore per usufruire della promo estiva! - 15% su tutti i prodotti in catalogo! 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" [ ti vogliamo bene anche noi Harry] = 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 mi lamento della gente che scrive ancora \"freddy mercury\" ma anche quella che scrive \"jhonny cash\" non scherza] = 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" [Ucciso a bastonate moglie al gip: \"Lo amavo anche se era violento sono pentita\" (Adnkronos) 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" [Oggi cominciamo così! Con i nostri saluti per voi di venerdì scorso dopo \"Notre Dame de Paris\". 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" [Dal prossimo anno Audi non sarà più uno sponsor del Milan il testimone passerà alla Piaggio...e via con gli Apetti!!] = 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" [Raduno alla caserma Galliano e commemorazione della Grande Guerra: Lo scorso anno su iniziativa di alcuni soci... 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" [IL MIO DIARIO - Pagine d'estate quando ti innamori piano piano dietro uno schermo. Grazie Greta. ❤️ 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" [ il fatto che una persona che vada in discoteca implichi che questa si droghi è una fesseria...] = 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" [Mercato : #Joaquin sempre più in partenza mentre anche #Vecino pare sia in partenza verso #Napoli. Si parla 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 la forza sia con noi] = 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" [#governo@matteorenzi Licenzia 5000 precari LSU # LPU# Calabria dopo 20 di lavoronero] = negative |
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