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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" [ si! Ma te la do solo se mi dici se stai ancora con Nina *si illumina AHAHAHAH UWU*] = 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" [ era un grande problema per le banche, ma ora che Bankitalia è al timone del Governo #monti dormiremo #spread e c/c tranquilli] = 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 05:00: 1.#cinemaInChiesa 2.#serviziopubblico 3.#Grillo 4.Trota 5.Levon Helm 6.Damon and Elena 7.Prince Of Persia 8.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" [ grazie mille, sei un amore asdfghjkl 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" [Qual è la cosa più pericolosa che hai mai fatto? — dire a mia nonna che non avevo fame ... http] = negative
Analyze the sentiment of the news headline enclosed in square brackets, determine if it is positive, neutral, or negative, and return the answer as the corresponding sentiment label "positive" or "neutral" or "negative" [Il presidente del Consiglio, Mario Monti, è appena arrivato a Bruxelles per il Consiglio europeo informale. A una... 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" [ Bello veramente azzeccato. Corretto fino alla fine: il prelievo è per Mario Monti e per la Casta.] = 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" [#Bersani critica #Grillo per le offese a Napolitano ma non si sente in colpa per le offese alla nostra dignità di tutti questi anni.] = negative
Analyze the sentiment of the news headline enclosed in square brackets, determine if it is positive, neutral, or negative, and return the answer as the corresponding sentiment label "positive" or "neutral" or "negative" [POLITICA. #Panebianco sul CorSera: La durata e la stabilità del governo Monti non hanno nulla a che fare con la questione del #referendum .] = 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" [#OttoEMezzo certo che abituati al nano...anche se non ne condivido le scelte Mario Monti è proprio un gran signore..] = 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" [Ancora 32%,bella merda] = 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" [Sabato alla Camera si vota il DDL SVILUPPO...poi da Lunedi avremo un nuovo Governo con Mario Monti Premier. 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 *-* *-*] = positive
Analyze the sentiment of the news headline enclosed in square brackets, determine if it is positive, neutral, or negative, and return the answer as the corresponding sentiment label "positive" or "neutral" or "negative" [Chi dice sì al governo Monti? La lista dei deficienti in arancione 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" [ sisi, sempre su tutto..] = 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 faccia della giornalista del #tg3 dopo il servizio su #Grillo dice tutto. Brava.] = 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 con gianni letta, pd perplesso. Ma che vogliono? Non esagerate sennò ci mettiamo ] = 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" [Rai: Mario Monti e Corrado Passera lavorano a riforma? 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" [MARIO MONTI: "L'EURO E' UN SUCCESSO, SOPRATTUTTO PER LA GRECIA" 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 : odiare qualsiasi tipo di canzone se viene impostata come sveglia.] = 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" [CASA, CONDOMINIO E MANOVRA SALVA-ITALIA DEL GOVERNO MONTI. martedì 13 dicembre 2011 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" [Massimo Franco sul Corriere illustra efficacemente aspettative ed incognite del Governo Monti 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 : Rep Petrini su caos tasse.Confcommercio denuncia Tassa rifiuti aumento fino a 600% su rifiuti.Si scherza col fuoco anch…] = 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" [Ok, ti ho fatto pubblicità u.u ( live on 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" [Secondo me il governo Monti non sarà una sconfitta della politica, tutt'altro. Semmai sarà una sconfitta di certa lotta partitaria.] = 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 noia della domenica non ha eguali] = 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" [Accadde oggi: 1993: entra in vigore il Trattato di Maastricht, che stabilisce formalmente l'Unione Europea.... 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" [Mi sto commuovendo a guardare How I Met Your Mother] = 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" [ Eh, ma i salernitani sono campioni nel lamentarsi!] = 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" [Chameleon Launcher in arrivo anche per smartphone: video beta privata su Galaxy Note 2 e Nexus 4: Chameleon Laun... 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" [ graaaaandee!] = 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" [Berlusca ha problemi di doppia personalità: ha appena smentito (in viva voce) di potere/volere staccare la spina al 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" [Giornata della Memoria 2012: il discorso di 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" [ si, perché i miei non hanno la macchina. Si in effetti, però rimane sempre bellissimo, perché? Io lo bacerei comunque 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" [Lei \"ma tu ora saresti pronta per un amore?\" Io \"se devo domandarmelo immagino io sia già preda dell'incantesimo dell'orologio biologico\"] = 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" [ ..ci chiamavano Mario Monti a scuola...;)] = 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" [Controlla questo video MARIO MONTI: L'EURO E' UN SUCCESSO, SOPRATTUTTO PER LA GRECIA 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" [ Qualcosa in cambio doveva avere. Se no non se ne andava. Certo che il governo Monti non ci fa una bella figura.] = 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" [“Living well, within the limits of our planet“ (Vivere bene nel rispetto dei limiti del nostro pianeta). Questo il... 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" [Ecco i primi incoraggianti passi del Governo Monti sulle rinnovabili 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 mio albero avverte la crisi...Mario Monti grazie x questo natale stupendo] = negative
Analyze the sentiment of the news headline enclosed in square brackets, determine if it is positive, neutral, or negative, and return the answer as the corresponding sentiment label "positive" or "neutral" or "negative" [TT ITALIA 23:28 1.#piazzapulita 2.#serviziopubblico 3.#Grillo 4.Prince Of Persia 5.Franca Rame 6.Belsito 7.M5S 8.Falcao 9.Nero Wolfe] = 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: Fini, Monti personalita' piu' adeguata a affrontare crisi: Roma, 10 nov. (Adnkronos) ? Mario Monti e' l... 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" [ Mario Monti for president? Che fatica essere di sinistra . Dalla Jena di oggi] = 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" [#StayStrongHarryDirectionersLoveYou #RT Se anche tu ami Harry come sempre nonostante la storia Haylor.20] = 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" [[vero] ": grande professor #Monti, nell'aula del Senato: Se dovete fare una scelta: ascoltate, non applaudite""] = positive
Analyze the sentiment of the news headline enclosed in square brackets, determine if it is positive, neutral, or negative, and return the answer as the corresponding sentiment label "positive" or "neutral" or "negative" [Dio quanto mi odio. Sono inutile.] = 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" [ fatto ricambi??] = 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" [Definisce il governo Monti un esecutivo di buona volontà . Ai partiti dice: Si impegnino, anche a riscattarsi] = 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 sindacati si accorsero solo ora che il governo monti è deleterio... Buongiorno!ben svegliati!] = 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 alle ore 23:30 americane, andrà in onda il famoso show della NBC Saturday Night Live e la... 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 #Politica #Italia #Grillini 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" [ ho le balle girate di mio, ok? se poi devo sentirmi la ramanzina da te, guarda, vai pure a quel 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" [f #LaRagazzaDiFuocoRoma "L'uccello, la spilla, la canzone, le bacche l'orologio, il pane tostato, il vestito consumato dal fuoco..." 61] = 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" [Nn so se dopo posso aprirlo ti amo buonantt] = 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" [Va bene il governo Monti, ma in Italia c'è ancora da risolvere la crisi bimbiminkia affetti dalla sindrome di Twilight.] = 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 e il teatrino della politica. Quanto ci piace | Fabrizio Tonello | Il Fatto Quotidiano 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" [Il nuovo Governo Monti è stato presentato. Non ho cognizioni specifiche per valutare i nomi, ma apprezzo molto che non ci siano politici.] = 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" [trovo che beppe #Grillo sia insopportabile. solo un gran casino e critiche continue, ma non gli ho mai sentito fare una proposta che sia una] = 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" [ : Stasera Mario Monti alle 20 tg5 .. per la prima voltaa!] = 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" [Monti festeggiato per le strade di Roma «Avete visto che splendida giornata?»: ROMA Mario Monti ha lasciato in... 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" [Laura Pausini e poi il presidente del Consiglio Mario Monti sceglie bene i suoi ospiti!] = 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" [Secondo alcune voci, Beppe #Grillo sarebbe al 7%. Ma da ottobre anche lui al 23%. #M5S] = 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 : niall è perfetto biondo, niall è perfetto castano. niall è sempre prefetto 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" [Continuare a considerare #Grillo come antipolitica. #erroredrammatico [Abbia il coraggio di definirsi \"forza 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" [Roma, i "Draghi Ribelli" protestano contro il governo Monti: #draghi ribelli #governo monti #montecitorio ROMA –... 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" [Quanto era bello oggi. Con i capelli tutti arruffati, la tuta. Mi era venuta voglia di una cosa pervy con lui. Ok ora datemi della pazza.] = 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" [Speriamo non mi interroghi,cazzo] = 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" [Tutti lo cercano tutti lo vogliono solo le piazze e gli elettori lo trovano chi e'? #Grillo ! #ottoemezzo] = 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" [Marc Lazar: "Napolitano? L'Europa lo ammira. Mario Monti? Può salvare l'Italia" 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" [Rutelli, fiducia al governo #Monti: mancava che gli dicesse che è bello ( elegante e con indiscutibile aplomb li aveva già usati)] = 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" [Mario Monti senatore a vita http] = neutral
Analyze the sentiment of the news headline enclosed in square brackets, determine if it is positive, neutral, or negative, and return the answer as the corresponding sentiment label "positive" or "neutral" or "negative" [ wow, conosci tutti questi posti? Mi dicono che sei intelligente. E poi sto alla grande oggi.] = 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" [Ecco tutti i privilegi della Casta che il premier non ha tagliato mario monti, casta, sprechi, cam 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" [ Ahahahahaha Tranquilla Grazie :') tanto la rabbia mi e passata stavo aspettando la monchele riot !] = 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" [ ...#seguodeejay perchè li tengono bene il tempo...:)] = 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 : ragazzi che “perchè le tette di fuori hanno più mi piace di un sorriso?“ e poi se non hai un balcone con tanto di fiori nem…] = 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" [C'è anche Stich O.O ( http] = neutral
Analyze the sentiment of the news headline enclosed in square brackets, determine if it is positive, neutral, or negative, and return the answer as the corresponding sentiment label "positive" or "neutral" or "negative" [Ci diranno che Mario Monti è troppo poco italiano. Bene! #rimontiamo 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" [10mln per #400NuoveAutoBlu e poi #Napolitano predica contro l' #antipolitica e chi s'incazza come #Grillo ? Ma questi vanno rinchiusi tutti!] = 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" [D'Alema: Per la prima volta pagano anche i ricchi : ROMA – ''Il professor Monti si e' trovato ad operare in una... 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 : I migliori tweet pt.3 'Ah la musica, una di quelle magie che supera tutte quelle che facciamo noi.'] = positive
Analyze the sentiment of the news headline enclosed in square brackets, determine if it is positive, neutral, or negative, and return the answer as the corresponding sentiment label "positive" or "neutral" or "negative" [ io ancora rutto la ricotta fritta di mezz'ora fa!] = 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" [Porsi a distanza, quel tanto che basta per mettere bene a fuoco e osservare che le cose non sono esattamente come credevi che fossero.] = 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: E' trasparente, non c'è conflitto interesse: Squadra snella e forte .Parlamento costante punto... 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: l'ultimo atto della lenta agonia della politica sovrana. La tecnocrazia come esito in 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" [Liga Italia • Re: Conte Sebut Balotelli seperti Lukisan Mona Lisa 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 vecchio governo paragonato al governo #monti sembra il cast di un film di lino banfi e Renzo montagnani rispetto ad uno di scorsese] = 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 che scappa inseguito da Bertazzoni mi ha fatto cadere le palle per terra. #ServizioPubblico] = 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" [Pensioni, flessibilità, Pompei... Le priorità del governo Monti: ROMA ? "Crescita ed equità sociale" sono le prior... 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" [Mario Monti: Con serietà e rigore, forse la sfanghiamo ] = positive
Analyze the sentiment of the news headline enclosed in square brackets, determine if it is positive, neutral, or negative, and return the answer as the corresponding sentiment label "positive" or "neutral" or "negative" [Ma non sarà che il governo #Monti sarà un flop come i precedenti governi tecnici?] = 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" [Sabato 26 gennaio dalle 10.30 alle 11.30 visita guidata della Basilica di San Piero a Grado 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 mozart domenica li spacchiamo noi e solo noi i campioni d'italia forza pirlo non fermarti mai] = 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" [\"Gli Stati Uniti sono la prova evidente di quanto sbagliato sia per la democrazia avere partiti privatizzati.\"N.Urbinati #Grillo #radicali] = 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 a me piacciono tutti i ragazzi di tluc ma in particolare michele e matteo >.<] = 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 tante cara mia.] = positive
Analyze the sentiment of the news headline enclosed in square brackets, determine if it is positive, neutral, or negative, and return the answer as the corresponding sentiment label "positive" or "neutral" or "negative" [ anche io..vorrei morire a causa del lavoro di tessili] = 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 meraviglia, potresti mettere mi piace qui >> http … se non lo metti non importa, grazie comunque :)] = 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" [Monti credit rating: AAA. Sono sempre più impressionato dallo stile e dalla serietà di Mario Monti, speriamo che il mondo si accorga di lui] = positive