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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" [ oooookay ma dopo perché devo andare a mangiare... ciao c: 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" [non so voi, ma io preferisco il twitter di ora a quello di un anno fa, almeno c'è della gente che ragiona.] = 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" [Sotto le aspettative http sottosegretari del governo Monti, per digitale una delusione] = 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" [Tg3 video Mario Monti da Berlino parla dell'Italia: c'è un enorme lavoro da fare. A cominciare dalla rimozione... 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" [ quello che sta andando in onda a parma è il futuro, grazie. vorrei che il comune di milano facesse lo stesso.] = 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" [de Bortoli: non faremo sconti al governo Monti #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" [TT Twitter Italia 21:30: 1.#primoLibro 2.#Grillo 3.Franca Rame 4.Prince Of Persia 5.Partito della Nazione 6.#cinemaInChiesa] = 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" [Bersani al gruppo sintetizza la linea rispetto al governo monti: o si va a messa o si sta a casa.Noi andiamo a messa per il bene dell'italia] = 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" [RT : Oggi è la classica giornata uggiosa di fine ottobre utile solo a conciliare il sonno #soledovesei?] = 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" [ai quanto drama, dormi] = 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" [RT : ♩♪♬ Juveeee,, storia di un grande amore. Bianco che abbraccia il nero. Coro che si alza ... 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" [Ne rimarrà uno solo! No....non e' la frase di Highlander ma quella di Mario Monti pensando ai pensionati!] = 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" [Questa sera a ospite l'ex Ministro Vincenzo Visco e Antonio Martino del #pdl. Analisi sul #fisco e sul #governo #Monti] = 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 se #Grillo fosse l'unica persona seria della #politica e tutti gli altri politici sono i pagliacci?] = 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" [Caro #Dalema, l'unico film che abbiamo già visto è quello che sancisce che sei un #cretino... anche senza #Grillo 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" [Parere favorevole del governo #Monti all'asta per le frequenze televisive... #opencamera #manovra] = 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 grazie speciale all autore di questa magnifica foto...che x me significa cosi tanto... Foto di karuso 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" [Sindacati http De Lieto: Manifestazioni contro il Governo Monti Il Paese è in ginocchio 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" [A questo link trovate il Decreto legge sulle #liberalizzazioni varato dal Governo #Monti. http #liberalizzazioni #Monti] = 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" [#inonda #Grillo è stato il detonatore e ci ha messo la faccia, il #M5S riempie il vuoto della politica creato dalla malapolitica dei partiti] = 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" [prima eravamo a fare lezione con la 5 eramo 42 e su 42 C'ERANO SOLO 6 RAGAZZI E TUTTI E E 6 FACEVANO CAGARE] = 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" [ torna amore mio. mi manchi, ti prego non fare niente.] = 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" [ questa sera, solo in esclusiva per i twitteriani, gli scleri di ilenia. HAHAHAHAAHAHHA] = 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" [Aaah che bello, dopo la pubblicità intervista esclusiva a Beppe #Grillo su #Gulliver. Un piacere cambiare canale!] = 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" [Liberalizzazioni pro #pmi: UE, Fmi e Confindustria con Mario 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" [ Ricordo il giorno che comprai \"Infinite Jest\" alla Fiera di Torino, insieme ad altri tre suoi. Non lo conoscevo. Ho fiuto.] = 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 sacrifici che mancano: La manovra presentata dal governo Monti è criticabile sotto molti punti di vista. E' mo... 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" [#Grillo difende le Pmi contro i centri commerciali. Dopo la green economy (che guarda a sinistra) ora si pesca anche un po' a destra.] = 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 forza fatti coraggio il topo e' sempre cn te anche quando non lo puoi vedere ! Appena vado all'ikea gli compro la fidanzata !!] = 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' più facile aumentare le tasse che combattere l'evasione fiscale #governo #Monti. vero 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" [Fai un ordine il negoziante firma conferma Il pagament 60/90/120/150/180/210 giorni alla prima scadenza tel x chiedere Di spostare il 60/90] = 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" [Governo Monti. Dobbiamo essere contenti. 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" [RT : ODDIOO I RAGAZZI HANNO #RT IL MIO VIDEOOOO ODDIO STO MALE SCLERO CAZZOOO MERDAAAA] = 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" [Caro Ferrero, il PD è ben felice di non sfiduciare il 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" [ Buongiorno 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" [sto governo Monti ha già odore di fuffa.] = 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" [ Ciao Aron... hai anche delle fans 21enni eh :P] = 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" [Ho scoperto Community e mi ha cambiato la vita. #2012telefilmicoaddio] = 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" [Su Facebook tutti vogliono fare tanto i poeti e poi di persona non sanno accocchiare manco due parole.] = 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" [Arriva finalmente il “sì” della Soprintendenza Il 29 aprile #Grillo si esibirà a piazza Croci http #m5s #apostosiamo] = 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" [ Costretti al risparmio... ancora... Ma ho fiducia nella manovra e nel governo Monti... Prof. Monti non ci deluda anche lei.] = 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" [Cronaca Flegrea - ELEZIONI/ Monaco accusa Figliolia: «Non mantiene i patti, sta co.... Leggi tutto su 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" [Chi ha più stile? Formigoni o Mario Monti? Scopri i commenti del governatore della Lombardia su abbigliamento e... 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 cosa migliore del governo #Monti sono le donne con il cervello. #sapevatelo] = 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 una stanchezza addosso manco mi fossi fatto Napoli-Pietrasanta a piedi. Boia...] = 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" [Disertori della zappa #BolognaRoma] = 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" [#matteorenzi Mario Monti e' l'uomo giusto al posto giusto nel momento giusto! Grazie Presidente Napolitano] = 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" [#Grillo ...il simbolo di un'Italia decadente...] = 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" [ Elena è caruccio anche se usato u.u a me mariana piace perché è bello da vedere, da firmare e non è molto usato :)] = 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" [\"vasco alla scala *_______________________* oddio è un mito che spettacolo le canzoni riadattate\" #porcodio] = 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" [Odio il mio paese, sono arrivata a voler eliminare il mio profilo Facebook per quelle quattro zoccolette e dovrei voler rimanere qui? HAHAH.] = 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" [ ti prego aggiungimii! :3 Grazie!] = 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" [Mangiare poco per invecchiare bene e vivere di più 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" [ #ditelavostra Bersani nel #Pd è il passato. Ma davvero qualcuno può immaginare #Grillo alla guida di un Paese?] = 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" [Ore 18.53 INPS Fornisce il numero degli esodati e precisa: saranno in tutto circ... 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" [RT : Tanti auguri Diego. Sono 53 anni di storia importante. Ne verranno altri altrettanto esaltanti #ADL] = 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" [Alle 4 devo cominciare a studiare T__T E devo anche fare la spesa D:] = 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" [Ma serviva Monti all'Italia? mario monti, tasse, spread, italia, giuliano zulin liberoquotidiano.it: 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" [ direi che mi fai sempre fare due risate] = 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" [Oh ma vaffanculo] = 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 manovra salvatrice dell'Italia varata dal governo Monti contiene molte sorprese. Uno degli articoli, il numero... 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" [sosteniamo il governo Monti che affronta l'emergenza, perche' sappiamo che e' l'unica possibile alternativa al fallimento dell'Italia] = 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" [Passera conia #superidea e ricorda il miglior #Fantozzi, #Grillo che entra in politica. Ma in Italia le cose vanno per il verso giusto?] = 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" [ Ricci sostiene #Grillo come lei sostenne il mostro della Lega con Profondo Nord] = 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" [Mario Monti alle telecamere, o meglio videofonino, del Fatto: che splendido sole oggi tra poco sul sito #finecorsa #doposilvio] = 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 è dimesso Bini Smaghi il futuro prof a Harvard o Bini Smaghi il futuro ministro dell'economia del 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" [Nn m ricordo che devo fare!! #BRING1DTOITALY] = 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" [Napolitano: «saremo all'altezza del compito»: Verso un governo di Unità nazionale guidato da Mario Monti. «L'Eur... 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" [Ma una donna in grado di essere chiamata a far parte del Governo #Monti? No, eh?!] = 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" [Se tutti conoscono la sorella di mia madre...è una NotiZia?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" [#amoilnapoliperchè è la ragione, il senso e l'emozione di una vita tinta d'azzurro. Ti vedo giocare e mi commuovo: mai nessuno come te !] = 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" [Diciamoci la verità: a #Passera non importa un fico secco dell'asta per le #frequenze tv. Ci si è trovato, come tutto il 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" [#Renzi e #Travaglio hanno imparato a fare discorsi anche un pò comici da #Grillo #serviziopubblico] = 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" [ *riprende a camminare sorridendogli*] = 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 sobrio governo #Monti spende 600 mila euro per la fiera dei frutti di mare 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" [lunedì mario monti presidente del consiglio? 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" [#Movimento5Stelle E #Grillo va, alla conquista del paese! | hubmagazine 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" [A mio avviso il #Movimento5stelle di #Grillo che tanto accusava la #politica, ora da antipolitca è nel pieno della politca.Questa è serietà?] = 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" [Una email a Mario Monti. Dialogo diretto per il nuovo Governo http #opengov #montipen] = 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" [ Visto che splendida giornata? Cit. Mario Monti 13/11/2011, Primo giorno del post-berlusconismo (forse).] = 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 palle che palle che palle che palle che palle che palle che palle che palle che palle che palle che palle che palle che palle che palle!] = 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" [ ma non hai ancora scritto un tweet? Prova!] = 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 #manovra del Governo #Monti sulle Province non delude, ascoltiamo il resto] = 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" [#Grillo stasera non vuole andare a fare il confronto in tv con gli altri, preferisce farsi intervistare. Sembra #Berlusconi] = 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" [Perchè Silvio deve lasciare il posto a Mario #Monti #dimissioni #opencamera #acasa #aeiouy 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" [Inno alla gioia per il Governo Monti http via ] = 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" [Università_it: I docenti contro il governo Monti: "La manovra ci penalizza": Ancora tagli: è l'accusa che i doce... 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" [Ho appena acquistato Cottage table su Stardoll. Dai un'occhiata alla mia Suite! 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 presta la sua faccia: ciò che altri non fanno. Non troviamo la macchia su tutto quando non c'è. #ultimaparola] = 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" [Caro Mario Monti conta fino a 10 per parlare,sennò succede che dici tante cazzate come è successo ieri sera a matrix] = 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" [Dieci domande al Mario Monti: 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" [Se #Grillo mi promette una nuova Norimberga per l'attuale classe politica lo voto anche io...] = 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" [Delusione # governo #Monti: niente #patrimoniale] = 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 cosa dovrebbe essere in grado di fare un vero uomo? — essere liam james payne. 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 tifo per un governo Monti] = 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 però basta con questa #sobrietà, sto iniziando ad odiare la parola quasi quanto #questionemorale, governo #Monti non è solo sobrietà] = 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 alle prime prove oggi il premier in Senato per la fiducia 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" [ Fantastico! vi seguirò dal lavoro! :) e potrei anche proporre di proiettarvi su schermo in biblioteca! #librinnovando] = 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 viceministro Martone scredita tutto il 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" [La coca nella senape. Arrestato un corriere, Cronaca - News - Cagliaripad http] = neutral |