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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" [boh, sono sola. che ho fatto di male per non essere ricordata e amata anch'io? perché non sono speciale?] = 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 FRATELLI ROSSELLI: 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" [ awwww *____* come sei dolce. Completi la mia vita 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" [ solo pane e acqua per Zeta no ti prego, non voglio averlo sulla coscienza magro per com'è già adesso!] = 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 fare con le politiche sociali? Una proposta al 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" [ non ci crederai ma l'ho trovato e mo me lo vedo subitooooooooooooo caspita so contento #nausicaadellavalledelvento] = 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 MALE :c #rt seguimi ti seguo e ti faccio una domanda .. mi annoio :c #follow #followme x9] = 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" [Bocchino: "Subito un Governo Monti ed elezioni nel 2013'': Generazione Italia http] = neutral
Analyze the sentiment of the news headline enclosed in square brackets, determine if it is positive, neutral, or negative, and return the answer as the corresponding sentiment label "positive" or "neutral" or "negative" [ #Grillo 5 stelle è una rivoluzione. Pensate se riesce a convogliare tutti gli incazzati ... sono milioni] = 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 ci stanga e dà la colpa agli evasori http #ilG] = 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" [ o le persone che non senti da una vita ti fanno gli auguri, il gg dopo ti chiedojo un consiglio e poi scompavaniscono 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" [Il presidente Mario Monti è sempre più apprezzato. Uno così non ce lo dobbiamo far scappare. Occorre appoggiarlo con più decisione.] = 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" [per ora l'unico miracolo natalizio del governo #monti è aver fatto riunire i sindacati confederali] = 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" [Forum dei giovani: chi sono i 30enni convocati da Mario Monti ECONOMIA 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" [Dormi patata....... @ casa mia 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 governo monti è una sospensione della democrazia . E il tuo era un aborto. #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" [In alternativa, va bene anche un massaggio alle spalle.] = 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 :D] = 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" [Nautica in allarme: \\ Tassa di stazionamento iniqua e sbagliata\\ : Lettera aperta a Mario Monti di G... 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" [Dalle misure del governo #Monti ai #10cambiamenti proposti dalla Generazione #nofreejobs Hai letto i 10 punti? 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" [#FF ... Gentile e ironico positivo ..Mi fa sempre sorridere ... 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" [ siamo tutti liberi ma un conto e' dire la tua teologia non mi piace un altro dire che sei fuori dai canoni] = 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" [Twitter: Saviano e Grillo tra piu' influenti Italia - Photostory Curiosità - ANSA.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" [buongiorno c:] = 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" [ hahah e anche notevoli direi u.u e diciamo che io sarei la secchiona della classe 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" [RT : la casetta nido per gli uccellini da appendere alla finestra.. 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" [#Italiaresiste Mario Monti subito Presidente del Consiglio! #Sarkozy #ballarò] = 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" [ un consulente maleducato quanto mai..] = 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" [Governo #monti il consigliere della cassazione Maria stefania di tomassi e' il nuovo capo degli 007 del ministro paola severino] = 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" [undicesimo motivo per amare Harry Styles: compra l'I-phone e lo rompe il giorno dopo. lol] = 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" [Goldman Sachs innesca la crisi e poi piazza Mario Monti a risolverla 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" [perché dovete definirvi per forza fan numero uno di un cantante? non c'è niente di male a dire mi piace ma non sono lovatic, belieber ecc..] = 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" [Ehi Tu !!!@razielfe e Tu .. Pensieri Della serie “ non pecco mai abbastanza “ !] = 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 ci si chiede perché il mondo va a puttane http #fb] = 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 danza e il pensiero. Simona Bertozzi ed Enrico Pitozzi fra corpo e mente 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" [ Di questo nuovo governo #Monti mi ha colpito l'accento sulla responsabilità verso le generazioni future.] = 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.... Gruppo bildenberg.....e ho detto tutto...secondovoi stiamo male? Nooo] = 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 Fatto > Caso Mps, Antonio ‘Superbonus’ Rizzo: “Così ho denunciato i manager infedeli”] = 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 : chi vuole aumentare assieme a me?#rT seguimi e ti seguo alla velocità della luce:)] = 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 a Rai3: Niente sconti del Corsera al governo #Monti . Buffone] = 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 chiedo solo un favore,davvero,ti prego,non toccare più luca.Puoi odiarlo quanto vuoi,ma non toccarlo.] = 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" [POLITICA. #Marchionne: «Per guidare l'Italia non si poteva scegliere persona migliore di Mario #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" [Il colpo di stato sobrio di Mario Monti: http via che skifezza] = 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 finito di lavorare,mangio,compiti e di nuovo a lavorare,e sappiate che odio ognuno di voi che si sveglia ora!! Con amore eh ♥] = 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: aspetta e spread il titolo di oggi di #agorarai ci piace, tipo.. ... che il lavoro se ne e andato in Cina.] = 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" [ tranquilla anche io sto crepando ancora...] = 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 poi dicono che Mario Monti non sa essere spiritoso. Leggete la frecciata di risposta ad una interrogazione... 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" [Forza Milan, Milan Per Sempre] = 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 nano pelato è malato di mente, questo ormai è noto. #Grillo è un buffone e potrebbe fare solo il comico] = 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" [ abbiamo bisogno della diretta TV del concerto di Justin Bieber il 23 Marzo 2013, AIUTATECI. #ItalianBeliebersWantTheUnipolLive sf] = 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: Fiducia convinta in solidità istituzioni: 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" [Governo #Monti: Passera allo sviluppo. Ditemi cosa è cambiato da Forza Gnocca.] = 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" [ :) farti una vita è fondamentale...puó anche darti ispirazione per scrivere..scrivere è la tua passione immagino quindi...:)] = 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" [ di equità non se vede per niente. Colpiti tutti senza distinzioni. Complimenti al professor 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" [Marcia indietro del governo Monti: modificato il provvedimento sul fotovoltaico su terreni agricoli 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 quale impegno, tu crei la tua ed io la mia.Poi un paio di giorni guadagnamo un po' di followers ed alla fine ne uccidiamo una] = 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" [Rutelli sul TG3 che parla del governo Monti mi fa venire più vomito del peggior 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" [È ufficiale: ci sara' fiducia. La prima del 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" [RT : Spero sia colite. Ma ho paura sia 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" [Fa notizia Mario Monti, sorpreso alla guida senza cintura e al cellulare. Così ci sembra meno grave l'accusa per camorra all'on. Cosentino] = 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, a Natale, regala l'agenda digitale: 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" [ no. Di viso sei molto meglio tu] = positive
Analyze the sentiment of the news headline enclosed in square brackets, determine if it is positive, neutral, or negative, and return the answer as the corresponding sentiment label "positive" or "neutral" or "negative" [Ma veramente #Grillo ha detto che la soluzione alla crisi è uscire dall'Euro?? Ma allora è un genio dell'economia! Ah no un minchione!!] = 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 può anche bere un sacco di latte padano.] = 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" [Testimonianza. Durante 7 anni in cui per lavoro ho frequentato Bruxelles, ho constatato che Mario Monti è un italiano stimatissimo in Ue] = 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" [Caso Fonsai, Cancellieri in aula martedì Grillo: perché Letta e il Colle tacciono? Leggitima domanda di 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" [Buondì :DD Spero che oggi non succeda nulla a scuola ùwù] = 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" [Inizio ad adorare Mario Monti. Merita una standing ovation! Ecco la risposta all'interrogazione di Calderoli 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" [Un manifestante #NoTav chiede a Cicchitto cosa farebbe il #PDL se il governo #Monti toccasse le TV di Berlusconi... KABOOM! #PiazzaPulita] = 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" [Novità per il mondo dei Saloni di Bellezza italiani arrivano dalla Manovra Finanziaria del governo Monti: in... 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 a tutti.....................] = 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" [Mancano due ore che palle non ce la faccio!!] = 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" [ amore .. *ti fà alzare la testa* spiegati meglio,perchè puo essere un motivo ma non ci credo] = 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 voglio Iphone,trucchi costosi e profumi,non voglio vestiti firmati ecc...IO VOGLIO SOLO E SOLO 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" [ Mario Monti super partes = martirio o superman pesta] = 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 nuova #comunicazione #politica è anche questa: il movimento di #Grillo organizzato in franchising > 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" [Ascolto ancora #Grillo e poi #nanna. #Buonanotte a tutti ;)] = 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" [pensavo che #lalettura fosse un agguerrito think tank della cultura neoliberista e invece è solo una ciofeca] = 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" [ Rambo: cos'è lo Spread? Cosa devo fare?] = 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 : Bella] = 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 siamo Paese peccatore" cui il governo #Monti restituisce la virtù perduta.moralismo fa solo danni 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" [Rumors, serpeggia nel #Pdl l'ipotesi di un appoggio esterno al governo #Monti. Ma è un'ipotesi, per ora. Napolitano che direbbe? #fatepresto] = 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, Rosy Bindi: "Lavoro ed aiuti alle famiglie sono buone notizie" 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" [CARO MARIO MONTI, VAI DA VESPA A FIRMARE ANCHE TU'?] = 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" [francesco se ne è andato :( *piange* ora vado anche io] = 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" [ ahahahahah che fai??? lol] = 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 sparo -.-] = 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" [Su #Grillo Santoro ha ragione. Egli è proprietario del marchio, è una azienda dico io Che sia anche la fine dei qualunquisti dopo la lega?] = 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" [ Hey ciao anche se non ti conosco....se hai bisogno io ci sono. Sappi che ti sono vicina. <3 =) Fatti forza.] = 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 prima vittima del governo Monti: Autieri Frassica Liorni Vianello a #portaaporta] = 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" [Bocchino: Monti ha un futuro politico? E' nelle cose : #italo bocchino #mario monti ROMA, 11 DIC – ''Oggi Casin... 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' nato il governo Monti. Speriamo sia buono.] = 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" [Basta #Grillo Il4è morta una ragazza che aveva capito che la sua laurea era inutile.Lucia s’è gettata dal balcone della sua casa a Catanzaro] = 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 Moringa aiuta l’Africa grazie alle sue proprietàScopriamo le proprietà in numeri della Moringa e il suo... 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 bravo Mario Monti, vediamo domani cosa si leggerà nel dettaglio. Vediamo se mi accontenti! Se sei equo, l'ICI te la pago volentieri!] = 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" [GIANANTONIO #STELLA: Non ci provino, a distinguere ancora figli e figliastri. Lo ricordino, Mario #Monti ed Elsa... 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" [Conto alla rovescia per Telefisco, il quiz per misurare la vostra preparazione su tasse e controlli: In quali c... 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" [Ho visto un posto che mi piace di chiama letto, dove dormo, mi nascondo, vorrei starci tutto il giorno.] = 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" [Come mai da quando abbiamo il #governo #monti le bombe vanno tutte dritte ad #equitalia?] = negative