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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" [Scusa ma ti chiamo 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" [Vedo che la gente sta accogliendo Mario Monti come fosse il Messia. Chissà se sarà lo stesso quando toccherà pesantemente i loro portafogli!] = 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" [“@BadiniCreateam: Street art in Milano | http | #streetart #milano #salone #fuorisalone #design”] = 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 la vedo stasera!:)] = 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 contro tutti\". Toh, che novità. Non l'ho già sentita una headline simile? Il vecchio che \"avanza\"...] = 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" [Tra la #Guzzanti e #Grillo c'è solo una differenza di medium: da internet alla cara, vecchia tv. Ma la traducono in maniera uguale: tribuna.] = 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" [Fenomenale Lucia Annunziata: oggi ha voluto far capire a Mario Monti che come direttore del Tg1 lei sarebbe molto meglio di Lilliput Gruber] = 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" [ Superficialità imbarazzante. Quando si abbassa la guardia i risultati sono questi: la ferocia è sparita] = 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 lettera della #Confartigianato #Asti indirizzata al presidente del consiglio Mario #Monti http #lavoro #artigiani] = 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" [ in caso qualche volta facciamo la web :) Hai Ovo?] = 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 Fiscal Compact come il governo Monti: chiamano salvataggio l'assicurazione della fine.] = 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" [ ....finamente!!! Ti stai divertendo in Italia 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" [ osservando la gif di Chul che mi ha passato mi viene in mente che io c'ho un prestito ancora da riscuotere XD] = 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" [posso fare una domanda stupida? ma tutte ste belle cose che chiede la lega al governo Monti perché non le ha fatti quando era al governo?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" [Un folignate nel Governo #Monti? #MoscaMoschini #Foligno] = 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" [ Oh,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" [L'unica cosa buona del governo Monti è che non ci sorbiamo più il nano. Adesso però andiamo a votare per favore! #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" [Lettera al premier mario monti Corriere della Sera Inviato da 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" [ mario monti subito!] = 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 : Quel momento frustrante in cui il tuo miglior amico si innamora della persona che ti piace] = 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 tagli del Governo Monti partono dai senatori a vita. #Scalfaro] = 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 signori............. ma a me piace che posso farci?] = 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" [#serviziopubblico è l'unico programma che sta facendo informazione, gli altri veramente sono l'istituto Luce con sto 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" [ stai dimostrando di avere le palle! Hai fatto più che bene! Certi soggetti non si meritano di vederti giocare a calcio!] = 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, Napolitano: Operare per il bene del Paese - Politica e Società 2.0 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" [È bello cambiare lavoro ha detto Mario Monti, 68 anni, pornodivo ! ] = 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" [#Pogba: \"Dicono che somiglio a Vieira? No, io sono Paul e basta\" quanto a personalità nn è paragonabile a nessuno! #JuveUdinese] = 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" [ Grz,buon anno anche a te.Bnotte Rossella :-)] = 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" [spero di cuore che confermi di non voler entrare nel Governo Monti: tutti voti che andranno al #cinismoapalate] = 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" [Andando appresso a Mario Monti... si dimentica l'origine del problema.. 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" [Per chi questa domenica si annoia...nuovo post sul mio Blog!... 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" [Lacrime e sangue degli italiani, ma per che cosa? Tre domande per il professor Monti 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" [L'intervento di riduzione della spesa previdenziale operato dal 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" [Ho la risposta a tutte le vostre domande: Si] = 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" [Perrie è una bellissima ragazza e struccata sta bene. Non capisco perché debba truccarsi con tutti quella roba. Sembra Platinette tra poco] = 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 03:48 1.#cinemaInChiesa 2.#serviziopubblico 3.#Grillo 4.Trota 5.Levon Helm 6.Prince Of Persia 7.Damon and Elena 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" [ buon pomeriggio Micaa ♥ ti voglio 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" [ ricorda alla Tua internazionale le #vittime della scellerata politica del Governo #Monti! Che voi sostenete!] = 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: la diretta streaming dal Senato per la fiducia http #monti #fiducia #senato] = 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" [buonanotte :-)] = 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 parla di #democrazia sospesa è un un analfabeta della #Costituzione. #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" [ Per quando si prevede il ripristino del servizio? Grazie.] = neutral
Analyze the sentiment of the news headline enclosed in square brackets, determine if it is positive, neutral, or negative, and return the answer as the corresponding sentiment label "positive" or "neutral" or "negative" [Giusto andare avanti con le #liberalizzazioni. Speriamo che #Governo #Monti e #Parlamento non si facciano intimorire. #Taxi] = 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 : In teoria, Maradona deve 39mln allo Stato Italiano. In pratica, prende 100mila euro dalla tv di Stato. E tutti applaudon…] = 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 vi farà anche \"da megafono\", ma attualmente non avete ancora un programma nazionale chiaro e inequivocabile. #PiazzaPulita] = neutral
Analyze the sentiment of the news headline enclosed in square brackets, determine if it is positive, neutral, or negative, and return the answer as the corresponding sentiment label "positive" or "neutral" or "negative" [Un governo Monti senza Di Pietro e la Lega: un insperato Bingo per questo povero 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" [Chi dice che il governo Monti è una primavera ha un'idea approssimativa delle stagioni #assembleasel] = 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" [Pilota e restaura magnifiche auto con #CSRClassics per iPhone. È GRATIS! http http] = neutral
Analyze the sentiment of the news headline enclosed in square brackets, determine if it is positive, neutral, or negative, and return the answer as the corresponding sentiment label "positive" or "neutral" or "negative" [ grazie mille tesoro nkdjf] = 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" [ guarda.. anche se legge il tweet nn me ne frega niente... troppo stronzo.. giuro.. adesso gli scrivo in chat...] = 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" [ Ahahahhh sudare no buono :D Grazie mille Fra! 😀] = 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 vincerà la sfida puntando su equità e giovani 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 timida,riservata,introversa e questo la fa odiare ancora di più.] = 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" [ hai commenti circa l'ennesimo attacco alla Bonino durante il passaparola di Fini del 23/4/2012 sul blog di #Grillo ?] = 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" [Ora un enorme in bocca la lupo a Mario Monti. Lo aspetta un'impresa titanica. Buon lavoro!] = 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" [ciao, sono ancora io carlottina e ti dico che mi fai sempre più pena, w 1D! ( live on 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" [Buongiorno e buon pranzo a tutti con l'informazione locale di RADIO LUCE NOTIZIE..] = 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 è stato costretto a fare un passo indietro. I referendum sono salvi. Ora avanti con la ripubblicizzazione!] = 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, ma #Grillo attacca le televisioni con una sequenza di chiacchiere.Lui,che è #Grillo grazie alle TV.Ma vada 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" [#RIPAlissiaItalianBelieber ripenso alla.nostra prima.conversazione.con ] = 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" [È palese che #Grillo quello che fa lo sta facendo perché ha il fuoco della passione dentro. Per questo mi piace. #ServizioPubblico] = 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" [Dopo #Obama a spingere per il governo #monti mancano solo l'uomo ragno e superman #fatepresto] = negative
Analyze the sentiment of the news headline enclosed in square brackets, determine if it is positive, neutral, or negative, and return the answer as the corresponding sentiment label "positive" or "neutral" or "negative" [Il decreto sulle carceri del governo Monti | Il Post 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" [Preferisco fare affidamento su un #Grillo piuttosto che su un Bossi o un Berlusconi. Onestamente eh, poi magari non farà un cazzo.] = 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" [Oddio #Alfano annuncia lapiùgrande novità politica, #Casini il Partito della Nazione, #Grillo delira e il #PD dorme. #Burlesque male minore] = 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" [Decreto liberalizzazioni del governo monti in formato pdf completo 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" [GASPARRI: Sì al governo Monti per senso di responsabilita' 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, la delusione di Bersani: Affidare dicastero a Passera segno di poca discontinuità rispetto al precedente Governo .] = 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" [#seriea #diretta #Calcio - Calciomercato, la Roma cerca rinforzi. L'obiettivo e Kuyt del Liverpool,... http #streaming #live] = 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" [Franceschini: Governo Monti, impossibile fare meglio 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" [Se #Grillo è un demagogo, #Rutelli,#Bersani,#Alfano, ecc.. cosa sono ?Tutti pronti a #illudere la #gente per recupearare i voti persi.] = 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 : Anche il Portogallo in piazza contro l'austerity #contropiano http 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" [ Canzone FANTASTICA!Riesci a trasmettermi molto e hai ancora tanto da dire, non vedo l'ora di ascoltare..ogni tua parola] = 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 evidente che Calderoli gestisce il personal branding di Mario 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" [ #TgMattina #ditelavostra #Grillo Coalizioni: M5S+IDV+SEL+PD+Radicali. Si puo' 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" [Credo che monti.. Sia quello giusto #governo monti.... #piùomeno] = 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" [Comunque se avete ancora un neurone funzionante guardate su la7.tv la sputtanata che ha dato la #Gruber a #Grillo e ai suoi automi #grillini] = 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 dice che i giovani sono con lui ma dimentica che l'Italia è un paese di vecchi.] = 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" [ concordo! ma anche e in più, che siano considerate un punto di forza del governo Monti e non un bieco così fan 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" [Sciopero Generale il 27 gennaio 2012. Si protesta contro il governo Monti 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" [#Frattini 'Le riforme strutturali sono parte dell'emergenza. Anche se c'e' il governo Monti non ce lo dobbiamo dimenticare'] = 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 grazie *w*] = 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 Pietro dice no al governo Monti, mi sembra già di rivedere l'Ulivo e la sua simpatica caciara #FullMonti] = 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 sdoganerà pure il vaffanculismo di Grillo? Dopo aver definito la #Lega una costola della sinistra dirà che #Grillo è il culo del #Pd] = 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" [uh, è pronto, torno subito ihih #off] = positive
Analyze the sentiment of the news headline enclosed in square brackets, determine if it is positive, neutral, or negative, and return the answer as the corresponding sentiment label "positive" or "neutral" or "negative" [http #Grillo \"...rischiamo di entrare noi al governo,ma è pazzesco\". Pazzesco sì. Sveglia politica 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" [Ecco l'Ici di Mario Monti secondo la Sora Cesira 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" [per ora con il governo Monti abbiamo recuperato la dignità. E non è poco!] = 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" [perchè continuo a sperare in una vita migliore?] = 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 Si le agenzie di rating sono proprio innamorate del grande e probo governo Monti...... http] = neutral
Analyze the sentiment of the news headline enclosed in square brackets, determine if it is positive, neutral, or negative, and return the answer as the corresponding sentiment label "positive" or "neutral" or "negative" [BUONGIORNO PUPEEEEEEEEEEEEEEE] = 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 perchè l'applicazione di facebook per l'iphone, trema?] = 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 difende le liberalizzazioni: "Articolo 18 non sia un tabù": Il premier Mario Monti difende le nuove norme... 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" [ è vero che tu fai l'università èè dai che alla fine andrà tutto bene. Io bene dai, un po' in ansia anche io, ma tutto shallo] = 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 Vaffanculo] = negative
Analyze the sentiment of the news headline enclosed in square brackets, determine if it is positive, neutral, or negative, and return the answer as the corresponding sentiment label "positive" or "neutral" or "negative" [Io e Daniela Spiga Squisitamente Zucchero vi aspettiamo il 10 novembre dalle 9.00 alle ore 13.00 per imparare a... 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" [-voglio bene,io ti amo proprio. ti devo moltissimo,mi hai sollivata nei momenti peggiori,e mi hai dato un sorriso in mezzo a un pianto-] = 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' giunto il momento di non appoggiare Il governo #Monti votando no in massa. Lasciarlo alle corde, suonato.] = 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 : Giornata dedicata al #nordicwalking nel parco regionale di #frasassi #destinazionemarche 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 cuore. c:] = positive