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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" [Cosa ne pensa #Grillo della riforma sulla giustizia? #schiacciailgrillo] = 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" [Al momento sentire parlare Mario Monti al posto di mi emoziona. A prescindere.] = 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 mario monti e' meglio della profezia maya? mah....] = negative
Analyze the sentiment of the news headline enclosed in square brackets, determine if it is positive, neutral, or negative, and return the answer as the corresponding sentiment label "positive" or "neutral" or "negative" [Riascolta Mattia Feltri che ieri raccontava, all'Anziano e al Simpatico, il suo incontro con Mario Monti. In trattoria. http] = neutral
Analyze the sentiment of the news headline enclosed in square brackets, determine if it is positive, neutral, or negative, and return the answer as the corresponding sentiment label "positive" or "neutral" or "negative" [Grande attenzione dell'opinione pubblica internazionale all'investitura del governo Monti: è possibile essere al contempo italiani e sobri!] = 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" [#Legaladrona vuol far pulizia ed entra #Bossi? Tutto come nulla fosse? Ma che presa x il culo! #Vergogna! #Grillo #M5S] = 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" [Lucamengoni Youtube Governo Monti presenta i Ministri 16-11-11: Governo Monti presenta i Ministri 16-11-11 ww... 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" [Governo: Monti, profondo rispetto per partiti e Parlamento: Roma, 13 nov. (Adnkronos) ? "Mi accingo a questo com... 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" [fa tutto schifo.] = 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" [#mustread > La lettera al governo #Monti del Sottosegretario alle #Migrazioni della Repubblica tunisina 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" [ #Grillo lo seguo da tantissimi anni..ha aiutato molte persone. ed è coerente molto di più della nostra classe politica] = 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" [Moriremo democristiani, massoni e difensori di boia: una dedica alla #Guardasigilli http #Severino #Diaz #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" [Dopo Berlino dove si va? Lettera aperta a 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" [UnitiNellaPreghiera! RT : un caffè, un dolce in forno, una canzone, un'amica vera...e passa tutto. #adoroillunedì 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" [ siamo agli sgoccioli.....però penso al dopo, se piazzano un mario monti non credo che per lavoratori e pensionati cambierà tanto] = 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" [ Buonamano+Di Bello in conduzione, Compagnoni quando commenta il Napoli, Bergomi sempre, tutti gli inviati del Napoli e Nosotti.] = 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 avuto maestro birrario molto integralista per me birra di tutti i giorni è una gueuze Comunque la mia è solo invidia birraria :)] = 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 catalizza l'attenzione della gente perché ha capito ciò ke la gente vuol sentirsi dire, ma questa è pura demagogia non è politica] = 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" [ parlate dei movimenti #antipolitica, ma Che in realtá sono la rabbia Della gente come #Grillo #noitaliani ] = neutral
Analyze the sentiment of the news headline enclosed in square brackets, determine if it is positive, neutral, or negative, and return the answer as the corresponding sentiment label "positive" or "neutral" or "negative" [ mi sto facendo anche io questa domanda. Diciamo che quando si parla di qualcosa é perché importante,quindi siamo importanti :)] = positive
Analyze the sentiment of the news headline enclosed in square brackets, determine if it is positive, neutral, or negative, and return the answer as the corresponding sentiment label "positive" or "neutral" or "negative" [Se trovo chi ha deciso che noi donne dobbiamo soffrire in questo modo atroce giuro glifacciounculocosì] = 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" [IlRestoDelCarlino.it: Un 'figlio di Rimini' tra i ministri del governo Monti: Andrea Riccardi, nom... http #news #rimini] = 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 invoca 'equità sociale' nel suo primo breve discorso da premier in pectore. e l'aria è già più pulita. #rimontiamo #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" [Io a #Grillo chiederei una cosa sola: ma i vestiti li lavi ancora con la biowashball? (Magari è il motivo per cui non rilascia interviste).] = 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" [Ipotesi Mario Monti, ovvero la finanza al governo senza intermediari. Economista, più volte commissario europeo,... 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" [Belle prove oggi! Ci voleva, davvero! Fanno star bene questi pomeriggi!] = 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" [sono un pazzo che vuole fare l'ingegnere dal manicomio] = 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 tecnico Mario Monti: chi è il prossimo successore di Berlusconi?: Nominato senatore a vita dal presidente... 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 : Bar,amici,birretta,maraffa,biliardino] = 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 #Obama chiami #Napolitano per fare il punto sul governo #Monti la dice lunga sulla paura del mondo che l'Italia crolli ] = 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" [#animali Arriva la "soluzione" per scongiurare sorprese da parte degli "amici a quattro zampe" 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" [ tutti in gita a lampedusa :) #portaaporta] = 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 come si fa ad andare a votare con sta gente!? Io voglio votare e' un mio diritto-dovere! Ma chi voto? Fanno tutti schifo!] = 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 storia, le luci e le ombre dei neoministri del governo #Monti | Diritto di critica http via #ministri] = 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 : la maggiorparte dei miei tweet parlano del mio idolo.] = 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" [#piazzapulita tutti a sparare sul comico #Grillo ma i pagliacci che ci stanno governando sono più affidabili?] = 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" [#pernondimenticare tutti i bambini le donne e gli uomini che venivano uccisi per colpa di un pazzo che trovava divertente la sofferenza] = 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" [ : Beh,se non altro sono tecnologici..... #hitechparents] = 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" [ M5s è si una casta, #Grillo è uguale a Bossi, anche lui era contro tutto e tutti e sappiamo come è finita.] = negative
Analyze the sentiment of the news headline enclosed in square brackets, determine if it is positive, neutral, or negative, and return the answer as the corresponding sentiment label "positive" or "neutral" or "negative" [: questo Governo #Monti sta facendo una politica di #destra #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" [ fidati, fidati uu] = 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 Lega vuole Dini, Governo Monti non è più sicuro. Quasi sicuro che il paese salta per aria #rimontiamo] = 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" [#italiansgottalent come ha fatto questo a slegarsi? o.o] = 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" [Claudio sei fortissimo.. Grande PRINCIPINOOOOO.. :D Sei il nostro eroe.. Ciao Claudio buona fortuna in tutto :)] = 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" [#boicotto 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" [ Vabbè alla fine sempre un deodorante è..] = neutral
Analyze the sentiment of the news headline enclosed in square brackets, determine if it is positive, neutral, or negative, and return the answer as the corresponding sentiment label "positive" or "neutral" or "negative" [ alla grande Giuly!!! Bella idea e piaciuta 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" [#Grillo afferma di voler fare una #Norimberga per i partiti. Chi dice queste cose è solo un capocomico profittatore del disagio sociale.] = negative
Analyze the sentiment of the news headline enclosed in square brackets, determine if it is positive, neutral, or negative, and return the answer as the corresponding sentiment label "positive" or "neutral" or "negative" [ lo stavo pensando anche io xDDD] = 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 ho vogliia di combinarti così tesoro] = 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" [#BallandoConLeStelle manco se la oxa fosse cristo sceso in terra, che spettacolo tristerrimo] = 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" [Arrabbiati bipartisan, così #Grillo arriverà al 10% -- #italia #cirsi #politica #attualità #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" [21.hai un i-phone? Si si!!22.se si hai un grande culo. Grazie!!^-^23.il tuo account facebook è ammuffito? No è ancora buono da pappare (?)] = 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: il posto fisso è noioso . Quello da senatore a vita, 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" [#SERVIZIOPUBBLICO Ecco a voi il video delle mie VIGNETTE! \"Spazzare via tutti\" (n.20) #Renzi #Grillo #Bossi > 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 manderò una foto,cosi sarà come essere anche tu con me :-*] = 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 : volete incontrare i vostri """idoli""" e dire loro quanto li amate ma il vostro livello d'inglese é "he are, i love she"] = 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" [ no grazie per le preghiere xusnxuosbzjai] = 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 voglio bene. Tanto. <3] = positive
Analyze the sentiment of the news headline enclosed in square brackets, determine if it is positive, neutral, or negative, and return the answer as the corresponding sentiment label "positive" or "neutral" or "negative" [No sentite quando ho cercato un telefono non l'ho trovato. Ora ne ho trovato uno e non mi bastano i soldi] = 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 vuole abolire valore legale della Laurea. Tutti gli aggiornamenti 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" [Bruno_Vespa la stimo e vorrei che chiedesse al governo monti: la crisi è finanziaria e la manovra è reale quale sarà l'effetto? down!G918n] = 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 i sacrifici falli tu e l'amici tua e chi te sostiene! Noi li famo già da 'na vita...] = negative
Analyze the sentiment of the news headline enclosed in square brackets, determine if it is positive, neutral, or negative, and return the answer as the corresponding sentiment label "positive" or "neutral" or "negative" [Centrotavola ispirato dal Giorno della Terra creato da David Tutera 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" [Letta: sicuramente non farò parte del governo Monti . e siamo un passo avanti. #finecorsa] = 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 ospite a porta a porta! Prrrrrr] = 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" [Magazine: on line il primo numéro anche per IPAD! 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" [#itshazzasday amore mio, non importa il giudizio della gente, qualsiasi cosa ci siamo noi (vere) directioners a sostenerti, ti amiamo tutte] = 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 : La Meloni rivendica il diritto di essere ststa neofsscista, la Costituzione non glielo da. Nemmeno io.] = 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" [CasaPound Italia - Direzione Rivoluzione 2012 - Intervento di Buttafuoco 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" [ Anche io per la 45358133 volta..e ho già i fazzoletti pronti!! Ciaooo Bella!! :'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" [Dimettiti incapace! 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" [Bersani \"non sono Robespierre, no alla patrimoniale\": (AGI) - Roma, 18 gen. - Non voglio fare Robespierre o Sain... 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" [D'accordissimo! #Grillo all'attacco: 'Terrorizziamo i partiti''Ora siamo la terza forza del Paese'] = 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 boh, anche un koala è più fortunato di me ç__ç] = negative
Analyze the sentiment of the news headline enclosed in square brackets, determine if it is positive, neutral, or negative, and return the answer as the corresponding sentiment label "positive" or "neutral" or "negative" [http cosè il #superbollo #mario #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" [Il governo Monti piace più della settimana scorsa http] = positive
Analyze the sentiment of the news headline enclosed in square brackets, determine if it is positive, neutral, or negative, and return the answer as the corresponding sentiment label "positive" or "neutral" or "negative" [è passato più di un anno e ancora la mia mente continua a volare in quella città...probabilmente sarà per sempre il mio rimpianto...CPH] = 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, Fabrizio Palenzona, Presidente Assaeroporti: serve coraggio su infrastrutture, ricerca, trasporti 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 governo #Monti fino ad ora non avrà proprio spaccato ma vedere Feltri e Giannini che flirtano non ha prezzo] = positive
Analyze the sentiment of the news headline enclosed in square brackets, determine if it is positive, neutral, or negative, and return the answer as the corresponding sentiment label "positive" or "neutral" or "negative" [Nel Governo Monti, Amato dr sottile e Letta uomo di similaun? Mancano solo Andreotti e Forlani!] = 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, un gennaio di fuoco 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" [Ripenserai ancora,a tutto il bene che ti ho dato solo e solamente 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" [#Governo #Monti #pacchetto #anticorruzione: il #contrastodiinteressi è altra cosa che pagare #spioni #delatori per segnalare evasori.] = 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 mille! =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" [#Grillo fa bene a evitare la tv. In TV diventi una marionetta dei vari teatrini per inDIVANados #cimeritiamotutto 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" [Mai indossare qualcosa di una taglia in meno...] = 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" [Monti e la manovra 'salva Italia': Il nuovo governo Monti ha finalmente esposto, dopo giorni d' attesa e d' inc... 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 per il remix, bellissimo!] = 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 roma vince,il governo monti invece non convince.E tra le novità della politica,un sessantenne:Montezemolo!Questo paese va sempre peggio] = 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 politica domina, ora TT: #piazzapulita #serviziopubblico #Grillo Belsito M5S 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" [ Bravo il capitano non si muove deve diventare vecchio con noi alla magica Juventus..] = 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 : Io mi chiedo ancora cosa centri la Ventura con l'industria musicale. #XF7] = 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'invidia per #Grillo gli esce da tutti i pori. Ridimensioni il suo io cominciando a togliere il nome dal simbolo.] = 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" [Risorgere dopo Pasqua questo sì che e' un vero miracolo #Lega] = 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 famoso per il modello di Klein-Monti. L'ho appena letto su wikipedia, qualcuno vuole che glielo spieghi?] = 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 si possono utilizzare anche i personaggi vecchi? ( 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 la proposta di uscire dall'euro e affanculo il debito non è male. Ci vorrebbe un economista dietro che la studia 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" [Che bisogno c'era che il governo #monti recuperasse il peggio dell'ideologia del governo precedente?] = 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" [#Bossi 'aut aut' a Silvio #Berlusconi: o si fa saltare #Formigoni e giunta lombarda 'piena di inquisiti', o si fa cadere il governo #Monti.] = neutral