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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" [seguite bho il suo profilo è tutto bello 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" [Alexis che si piglia la mononucleosi, Meredith compare a casa sua, e ci rimane e Kate non può far altro che accettare #CastleRaiDue] = 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" [2Bossi: "Berlusconi? Non l'ho visto, ora sta con la banda di sinistra: #berlusconi #mario monti #umberto bossi 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" [Governo Monti, Fini: "Ministri di grande competenza e indiscusso valore professionale": Generazion 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" [Poi mi spiegate perché bisognerebbe essere felici di Mario 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" [Che la Cgil abbia un atteggiamento critico nei confronti del governo Monti mi sembra scontato ma che ora anche 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" [#Robinson Forza #Grillo siamo in milioni con te!] = positive
Analyze the sentiment of the news headline enclosed in square brackets, determine if it is positive, neutral, or negative, and return the answer as the corresponding sentiment label "positive" or "neutral" or "negative" [: Mario Monti non sa impennare hahaha :D] = negative
Analyze the sentiment of the news headline enclosed in square brackets, determine if it is positive, neutral, or negative, and return the answer as the corresponding sentiment label "positive" or "neutral" or "negative" [ scusa ma alle 2 di notte a chi le dai ste notizie e dopo non interessano a nessuno....] = 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 : sdasdksjakdh la amo.] = 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" [#pascale amore vero? Il mondo intero chiede certezze.] = 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 è vero che Mario Monti parteciperà a Jersey Shore? 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" [Guardate Mario Monti Channel qui http Un avatar simpaticissimo del premier!] = 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" [vabbé, rispetto a Silvio Berlusconi il nuovo premier Mario Monti è un tipo molto freddo, ma adesso esagera...] = negative
Analyze the sentiment of the news headline enclosed in square brackets, determine if it is positive, neutral, or negative, and return the answer as the corresponding sentiment label "positive" or "neutral" or "negative" [ Ho fatto un transloco e aspetto per il segnale al mio Vodafone station 65 giorni, ora devo pagare transloco e fattura. Opinioni?] = 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" [Adesso #Grillo è sulla bocca di tutti!! E pensare che lo sostengo da anni...e il #movimento5stelle l'ho visto nascere vai #beppe!] = 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 oggi vado a suola a fare niente, ho detto a mamma che rimanevo a casa e ha detto "FAI QUELLO CHE VUOI" e allora mi sono sentita in colpa] = 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" [Post Terremoto in Molise: gli EcoDem chiedono risposte concrete da Governo Monti: LARINO _ Per l'Associazione Ec... 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" [ Seguindo amore! :p] = 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? Roba da complottisti http via ] = 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" [Catanzaro: pizzini dal carcere per il boss Giuseppe Alferi - Anche se detenuto nel carcere di Catanzaro, il boss Gi... 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" [Coraggio, Mario Monti!] = positive
Analyze the sentiment of the news headline enclosed in square brackets, determine if it is positive, neutral, or negative, and return the answer as the corresponding sentiment label "positive" or "neutral" or "negative" [#Grillo scende in politica. Il Papa dichiara di voler fare il calciatore. Bruno vespa fara' la velina.] = 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" [Sottosegretari governo Monti, c'è il vero Braga: Palazzo Chigi: «Tutto a posto, giurerà fra pochi giorni». Minis... 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" [Francesco Profumo al Ministero MIUR del governo Monti: ottimo! Presidente del CNR #francescoprofumo #MIUR #Monti #cnr] = positive
Analyze the sentiment of the news headline enclosed in square brackets, determine if it is positive, neutral, or negative, and return the answer as the corresponding sentiment label "positive" or "neutral" or "negative" [\"Si partiti faremo una piccola Norimberga\"? Ok, è ufficiale, Beppe #Grillo s'è fumato il cervello, non si possono fare metafore del genere!] = 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" [#Università e #governo #Monti: quali prospettive? http #ricerca] = 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" [Comunque se parte il governo Monti è grande vittoria dell' #Udc, di e ] = 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" [Lotta studentesca contro il Governo Monti: PROFUMO di rinnovamento?No! Solo puzza di vecchi... 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" [5 prodotti che gli uomini “rubano” alle donne http #fashion] = 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 : sono riuscita a cambiare il profilo, mo nevica.] = 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 : Nessun politico italiano è mai andato in Europa a fare i nostri interessi http #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" [ secondo me Bini va nel governo Monti.] = neutral
Analyze the sentiment of the news headline enclosed in square brackets, determine if it is positive, neutral, or negative, and return the answer as the corresponding sentiment label "positive" or "neutral" or "negative" [ belin tardi ... Alla prox gelato al pistacchio:-)] = 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 ha lasciato il suo albergo a Monti ...ma sti giornalisti ogni tanto non si vergognano?] = 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 darling,ho parlato con Vale delle sfilate milanesi e mi ha raccontato un po' di coe.Appena vengo su Milano ci vediamo tt 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" [Ho appena ricevuto la telefonata del presidente del consiglio, Mario Monti. Si è complimentato per la gestione... 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" [In un articolo de #IlGiornale si accusa il governo #Monti di conflitto d'interessi: quando si dice avere la faccia come il culo...] = 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" [#ministri Presentata la squadra del governo Monti. Di tutti i ministri, quale di questi conosci?... 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" [ *gli prende le mani* oddio perrie non sai quanto sono felice *si stende sul letto chiude gli occhi* *sorride*] = 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 chi le salva le persone che non permettono a nessuno di salvarle? - cit. (via ladistanzadiunbacio) 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" [SWG: #Pd-#Pdl alla pari. Terzo #Grillo al 7,2. #FLI al 5%. #Lega al 7,1%. #Idv al 6,5 e #Udc al 6,3% 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" [ sei finita sui nuovi mostri a striscia in italia.HAHAHAHAHAHAH 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" [Decisamente, #Grillo è l'erede della Lega Nord, il problema è che per molti è una virtù.] = 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" [cerco immagini di Las Vegas e mi piombano quelle dei Killers. quanto orgoglio. ♥] = 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 pensano che #Grillo e' l'antipolitica e non farà mai paura..anche la #Lega nacque così...intanto pero' facciamo #piazzapulita] = 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" [attenzione...perchè la storia ci insegna che dopo una depressione...si rinforza l'estremismo e si arriva alla violenza...] = 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 ho fatto tutte le giovanili più 3-4 anni con la prima squadra. Ogni tanto mi alleno lì ancora adesso che non ho una squadra] = 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" [ Rappresentate due mie passioni, Roma e la Sicilia: non può essere solo un caso ma è un segno del destino olé] = 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" [ cazzi per 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" [a te invece che piacerebbe fare? :3 — domanda da un milione di dollari, non lo so AMO le lingue mi piacerebbe po... 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" [tutto gratis] = 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 istituisce per i barboni, l'obbligo di emissione dello scontrino fiscale, in seguito ad eventuale elemosina ricevuta.] = 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 MERCOLEDI' A MATRIX* =] = 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" [#serviziopubblico tutto condivisibile,ma nessuno parla di signoraggio bancario,ecco perchè #Grillo avanza,perchè è in contatto con la realtà] = 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" [Uau mario monti ci fa il regalo dinatale e approda su twitter. Che culo.] = negative
Analyze the sentiment of the news headline enclosed in square brackets, determine if it is positive, neutral, or negative, and return the answer as the corresponding sentiment label "positive" or "neutral" or "negative" [Chi dice sì al #governo Monti? #fatepresto #meritodimonti] = 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" [L'addetto stampa di Mario Monti e' un idolo. Buongiorno Mondo.] = 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" [Le lobby sconfiggono il governo #Monti http via ://www.romaitalialab.it/articolo.cfm?id=261] = 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, si parla di Buttiglione al ministero dell'Istruzione e di riconferma di La Russa alla Difesa (Fonte Piazza Pulita La7)] = 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 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" [la lega non approva il governo #Monti. e sti cazzi!] = 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 nulla solo il nome. Ma Cappellacci pres. PDL della Sardegna è coinvolto in in varie inchieste nella sua regione.] = 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" [formato il nuovo governo Monti. Che Dio ce la mandi tecnicamente buona.] = 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" [Cose che non mi piacciono: le nomine nel governo #Monti fanno felice il mondo cattolico. http / via #ministri] = 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" [ vado a fare la punta al pennarello.] = 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 : amo troppo i janoskians] = 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 : Viviamo in un Paese in cui si militarizza una valle per un'opera che nessuno vuole e la Salerno-Reggio è ferma da 30 anni. #serv…] = 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" [Ferrero (PRC) propone a Vendola (SEL) unità a sinistra contro Governo Monti | umbrialeft.it 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" [http Per restare in tema, #buonanotte Italia, io resto ancora su!] = 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" [#monti #chetempochefa L'atteggiamento 'mentale' del governo Monti? Nessun tabù! (Aiiuutooo)] = 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 tal Lucas: Suggerimenti al Governo Monti per risparmiare qual... 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" [ Ben detto condivido e danno a #Grillo anche ottimi assist come #rimborsielettorali che #M5S rifiuta e ora le 400 #autoblu] = 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" [dalla rass stampa http di #CitofonareAdinolfi si capisce più dai giornali che dalle Camere, la fragilità del governo Monti] = negative
Analyze the sentiment of the news headline enclosed in square brackets, determine if it is positive, neutral, or negative, and return the answer as the corresponding sentiment label "positive" or "neutral" or "negative" [Lunedì arriva la manovra del governo Monti: in agenda pensioni, piano casa, iva e lavoro 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" [ guarda come siamo tutte prese bene con le nostre date di nascita :3 ahahahah] = positive
Analyze the sentiment of the news headline enclosed in square brackets, determine if it is positive, neutral, or negative, and return the answer as the corresponding sentiment label "positive" or "neutral" or "negative" [ solo col governo Monti non funziona, dannazione.] = 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 fase 2 del governo Monti? Per ora comanda l'uomo di Letta 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 ogni ministro del governo Monti guardate chi era il suo predecessore. Il passo avanti sarà enorme. A prescindere» Michele Serra.] = 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" [Questo non è un paese per giovani. Avrei voluto che la prima riforma del governo #Monti fosse stata quella del lavoro, non delle pensioni.] = 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" [Le ultime rivelazioni di Greenwald “Italia spiata da Usa e Gran ... - La Stampa - 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 fatto che non hai ancora trovato il tuo principe azzurro non significa che tu non sia una principessa.\" - Zayn Malik.] = 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 fanculo! nel 2012 non li conoscevo ancora] = negative
Analyze the sentiment of the news headline enclosed in square brackets, determine if it is positive, neutral, or negative, and return the answer as the corresponding sentiment label "positive" or "neutral" or "negative" [ ci sto parlando proprio ora,tutto apposto zsdfg a te con la tua amica?] = 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 amo da qui... Alla fine del monfo... Di nuovo qui all'infinito\"] = 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 può essere anche peggio di #Berlusconi...] = negative
Analyze the sentiment of the news headline enclosed in square brackets, determine if it is positive, neutral, or negative, and return the answer as the corresponding sentiment label "positive" or "neutral" or "negative" [ hei se per uscire facessimo fra due sabati va bene spostare?] = 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 Monti! RT La classe e l'ironia di Mario Monti nel rispondere sulla presunta festa dell'ultimo dell'anno 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" [Camusso (Cgil): "Lavoro, serve un piano. Rischio di tensioni sociali": #cgil #lavoro #mario monti ROMA – Secondo... 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" [#f1 #formula1 Dai Gas alla sicurezza. Partirà da Modena il Ferrari Driver Academy Tour: Maranello, 26 aprile - P... 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" [ vinile tutta la vita... :-P http] = positive
Analyze the sentiment of the news headline enclosed in square brackets, determine if it is positive, neutral, or negative, and return the answer as the corresponding sentiment label "positive" or "neutral" or "negative" [Il governo #Monti mi ricorda la corazzata kotiokmin] = 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" [Aria di provocazione Annamaria #Cancellieri http #Governo #Monti #EatTheRich] = 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" [20/10/13 arrivo il mio 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" [Se gli uomini fossero liberi dallo Stato e dalle sue orrende leggi, L'Aquila e tutto l'Abruzzo sarebbero risorti... 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" [ ma posso attivarla anche senza abbinare mobile internet?] = 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" [Nessuno scandalo nelle parole di Mario #Monti: http #postofisso #monotonia] = 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 gente incolpa #Grillo persino del debito pubblico! Feltri, Vespa e Ferrara staranno pensando a quanto siamo capre noi italiani.] = 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" [85. E nell'amore a prima vista? no.86. Il 'e vissero tutti felici e contenti' esiste? no.87. L'ultimo film visto? non ricordo 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" [Oggi il motto è : relax & relax , a tempo perso ...relax ! Buona domenica twitteri ! CIAO ! http] = positive