formatted_text
stringlengths
238
378
Analyze the sentiment of the news headline enclosed in square brackets, determine if it is positive, neutral, or negative, and return the answer as the corresponding sentiment label "positive" or "neutral" or "negative" [ YAH! Eri contento? D.D Hyung è tornato ^^ erano tutte cesse, nessuna alla mia altezza KWAKWAKWA XD] = neutral
Analyze the sentiment of the news headline enclosed in square brackets, determine if it is positive, neutral, or negative, and return the answer as the corresponding sentiment label "positive" or "neutral" or "negative" [ Hey, grazie per il follow! Piacere, Robby :)] = 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" [Rubare ai 'poveri' per dare alle ricche banche ecco il governo Monti] = negative
Analyze the sentiment of the news headline enclosed in square brackets, determine if it is positive, neutral, or negative, and return the answer as the corresponding sentiment label "positive" or "neutral" or "negative" [#Roma, presidenti delle province chiedono a #Napolitano modifica del decreto Salva Italia del 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" [ ah 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" [281 senatori a favore del governo tecnico. Mario Monti è pronto ad instaurare il Reich.] = 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" [Riassunto: La versione 6.0 della soluzione Surveillint di Proximex è stata selezionata come finalista nell’edizio... #biz #hitech #italy] = neutral
Analyze the sentiment of the news headline enclosed in square brackets, determine if it is positive, neutral, or negative, and return the answer as the corresponding sentiment label "positive" or "neutral" or "negative" [ grazie per le infinite emozioni che mi fai provare quando fai e telecronache *-* #forzanapoli] = 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" [scusate ma se story of my life parla di una ragazza e blabla perchè nel video ci sono le foto dei ragazzi da piccoli? cioé non ha senso] = 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" [ cosa devo dirti?] = 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 adesso è solo un TT Italiano, spero che diventi anche un TT mondiale.#ItalianSelenatorsLoveSelena] = 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" [ Vedi se ti devi far parlare dietro per qualche centinaio di chilometri. ] = 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" [ oddio, come mai? ma quindi torneremmo la sera stessa a casa o staremmo tutti a dormire a Firenze? lol] = 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 nomina a senatore a vita dell'ottimo Mario #Monti, sembra non bastare. Il mondo e l'Europa vogliono azioni concrete. Nuovo governo 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" [giornalisti italiani, smettetela con queste domande veramente scomode e impertinenti a 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" [ amore ti presento miley, miley lei è mia figlia :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" [ io sono tutto impazzito...è stato un gran piacere conversare con voi...lo rifaro' prestissimo.] = positive
Analyze the sentiment of the news headline enclosed in square brackets, determine if it is positive, neutral, or negative, and return the answer as the corresponding sentiment label "positive" or "neutral" or "negative" [un sms mi avvisa che d'alema potrebbe essere ministro nel governo monti. improvvisamente via veneto ha perso il suo fascino] = negative
Analyze the sentiment of the news headline enclosed in square brackets, determine if it is positive, neutral, or negative, and return the answer as the corresponding sentiment label "positive" or "neutral" or "negative" [http MARIO MONTI NEI TALK SHOW SENZA CONTRADDITTORIO] = 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 : Carissimo Federico oggi è il tuo compleanno!! Tanti AUGURI adorato cugino!! Ti voglio bene 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 terzo polo dà appoggio totale a Mario Monti,ma di chi ti eri andato a fidare? (cit. #MIOPADRE)] = 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'assist di Fitch a Mario Monti: Oggi l'Italia ha tutto il diritto di non sentirsi più il brutto anatroccolo del... 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 debbo complimentare con il Governo Monti per la trasparenza, la sobrietà e la pragmaticità tuttavia] = 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" [certo che nel governo Monti entreranno Profumo e Passera a Mr. B. verrà un attacco di bile da record: il suo sogno realizzato da altri...] = 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 pochi minuti Mario Monti in diretta su rai3 a che tempo che fa .] = 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,GENIO,CAPO,GROSO,IDOLOOOOOOO 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" [#fisco e abuso del diritto: quando il risparmio d'imposta diventa vantaggio fiscale indebito #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" [Piano #Sud, accordo Regioni-Governo #Monti sblocco per 8 miliardi 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 governo Monti sta puntando molto sui giovani, adesso sta a noi dimostrare che la fiducia è ben riposta!... 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 non e' ancora nato e gia' sta perdendo troppo tempo.] = negative
Analyze the sentiment of the news headline enclosed in square brackets, determine if it is positive, neutral, or negative, and return the answer as the corresponding sentiment label "positive" or "neutral" or "negative" [ dopo Linea B adesso anche la #RomaLido #tordivalle è presa d'assalto da suonatori #free] = 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" [Terzo posto?!lontano ma non impossibile!!!!combattiamo fino alla fine!!!!] = 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" [Adesso mi tocca sentire che il blocco dei #TIR è un complotto contro il governo #monti. Che faccia tosta! #italiablocatta] = negative
Analyze the sentiment of the news headline enclosed in square brackets, determine if it is positive, neutral, or negative, and return the answer as the corresponding sentiment label "positive" or "neutral" or "negative" [Su #paywall #journalism #paidcontent finalmente, in Italia. I quotidiani italiani e il mondo del Web - Wired.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" [ aww grazie dhshhs] = 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 anche a #inonda ... Bastaaaa !!!] = 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" [ Allora 1. la tua bio è fiulherahfuilerfhifuil 2. il tuo nome è dskalhhfelfefnsil alla seconda (?)E 3. sono Sara Yeah u.u] = 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: Ho apprezzato il senso di responsabilità di Berlusconi : #berlusconi #camera #mario monti ROMA, 18 NOV –... 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 Fatto Quotidiano Com'era verde quella porcata: La cura da cavallo del governo Monti con tanto salva-Italia e... 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" [: Travaglio Governo Monti potrebbe aprire asta pubblica su frequenze #serviziopubblicoE' OBBLIGATORIO] = neutral
Analyze the sentiment of the news headline enclosed in square brackets, determine if it is positive, neutral, or negative, and return the answer as the corresponding sentiment label "positive" or "neutral" or "negative" [Buongiorno a tutti ragazzi e ragazze] = 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" [: Perché Patroni Griffi è ancora nel governo #Monti? [a sua insaputa, I presume]] = 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" [ ahahah!! Ma che fine ha fatto detto \"la torcia umana\"...???] = 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 ha presentato il programma che ci aspettavamo: rigore, crescita, sviluppo economico e sociale.] = positive
Analyze the sentiment of the news headline enclosed in square brackets, determine if it is positive, neutral, or negative, and return the answer as the corresponding sentiment label "positive" or "neutral" or "negative" [Mario Monti è senatore a vita: più posto fisso di così si muore (letteralmente) - M. Travaglio #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" [#calcio Juventus, Barzagli alla Rai: «Non so analizzare questo 2-4» http #news #calciomercato #news #calciomercato] = 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" [Primi effetti positivi del Governo Monti. Mi è stata recapitata una bolletta del gas dove devo pagare -14.84€.] = 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 Mario #Monti è fotogenico. Solo io vengo una merda sulle foto?] = negative
Analyze the sentiment of the news headline enclosed in square brackets, determine if it is positive, neutral, or negative, and return the answer as the corresponding sentiment label "positive" or "neutral" or "negative" [Il governo Monti non sa comunicare http] = neutral
Analyze the sentiment of the news headline enclosed in square brackets, determine if it is positive, neutral, or negative, and return the answer as the corresponding sentiment label "positive" or "neutral" or "negative" [ il governo Monti fa quello che deve e grazie a Dio lo fa bene. Sono gli italiani ad essere delle barzellette!] = 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 alla fine bel governo Monti infileranno dei politici sarà la solita rivoluzione all'italiana. Poco seria.] = 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 MARIO MONTI e la massoneria 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" [ vedo che anche senza di te i Raptors se la cavano abbastanza bene , convinto che con tuo recupero Raptors piu' forti , ciao] = positive
Analyze the sentiment of the news headline enclosed in square brackets, determine if it is positive, neutral, or negative, and return the answer as the corresponding sentiment label "positive" or "neutral" or "negative" [RT : la mia tl continua a fare schifo] = negative
Analyze the sentiment of the news headline enclosed in square brackets, determine if it is positive, neutral, or negative, and return the answer as the corresponding sentiment label "positive" or "neutral" or "negative" [Il grafico che fa più arrabbiare Mario Monti, considerati i tassi che ancora paga l'Italia sui titoli di stato 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" [Bellissima vittoria stasera! Grazie ragazzi! #lube #CEV #A1Mvolley] = 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" [Con il governo Monti e la nuova manovra sono scomparsi gli indignati... #farsa] = negative
Analyze the sentiment of the news headline enclosed in square brackets, determine if it is positive, neutral, or negative, and return the answer as the corresponding sentiment label "positive" or "neutral" or "negative" [Il Fatto Quotidiano Berlusconi è invecchiato di colpo: Il tenero Silvio dice che Mario Monti gli ha copiato l'ot... 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" [9. hai mai sofferto per amore? No, grazie al cielo no] = positive
Analyze the sentiment of the news headline enclosed in square brackets, determine if it is positive, neutral, or negative, and return the answer as the corresponding sentiment label "positive" or "neutral" or "negative" [ non lo hanno mai fatto, il loro unico obiettivo e dare un po' di cosce ai mariti frustrati] = 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 di non critichi #Napolitano: la critica al Presidente della Repubblica compete solo ai partiti in cui milita #Bersani] = 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" [ con tutte quelle assenze siamo stati anche troppo bravi!! #ForzaMilan ..sempre..] = positive
Analyze the sentiment of the news headline enclosed in square brackets, determine if it is positive, neutral, or negative, and return the answer as the corresponding sentiment label "positive" or "neutral" or "negative" [e anche #Grillo ce lo siamo giocati,sbaglio o ora ha solo il popolino ex Lega,exPd,exPdl,ex tutto ??] = 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" [ ....Viviana il prossimo tre novembre un' eclisse ibrida visibili nel sud Italia ???Può essere !...ne sai qualche cosa] = 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" [ come stai amore mio?] = positive
Analyze the sentiment of the news headline enclosed in square brackets, determine if it is positive, neutral, or negative, and return the answer as the corresponding sentiment label "positive" or "neutral" or "negative" [Sto impazzendo..] = 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] = neutral
Analyze the sentiment of the news headline enclosed in square brackets, determine if it is positive, neutral, or negative, and return the answer as the corresponding sentiment label "positive" or "neutral" or "negative" [Di Pietro: "Si alla fiducia per governo Monti, ma vogliamo risultati" 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 nominato senatore a vita. I primi momenti del post-Berlusconi mi fanno terrore...] = 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 le agenzie, anche Letta punterebbe a un governo Monti. Gianni Letta, intendo] = 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 : se tutti pagassero le tasse.. #Grillo rubereste il doppio .. sante parole miticoooo] = 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" [ RIFORMA: una delle tante che i partiti hanno imposto (ahahhha) al Governo Monti. #puttanate #campacavallochelerbacresce] = 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 fare cosa ?] = 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" [ Dm 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 #Grillo è l'alternativa mi tenevo #Bossi: fa anche ridere 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" [Governo Monti, se il cambio di passo arriva anche sul Web Tg24 Sky.it. Guardalo su: http] = neutral
Analyze the sentiment of the news headline enclosed in square brackets, determine if it is positive, neutral, or negative, and return the answer as the corresponding sentiment label "positive" or "neutral" or "negative" [#Grillo buongiorno a tutti! #M5S] = 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" [A #Grillo che propone di uscire dall’Euro consiglio di entrare alla Neuro] = 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" [Crisi,Sarkozy: serve accordo Ue. Vertice cruciale a Bruxelles: Per l'Italia il premier Mario Monti http] = neutral
Analyze the sentiment of the news headline enclosed in square brackets, determine if it is positive, neutral, or negative, and return the answer as the corresponding sentiment label "positive" or "neutral" or "negative" [DI VI NO. 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" [Mamma mia una zanzara in camera...meglio un aereo che atterra... #odiolezanzare] = 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 li voglio tutti arrivo] = 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] = positive
Analyze the sentiment of the news headline enclosed in square brackets, determine if it is positive, neutral, or negative, and return the answer as the corresponding sentiment label "positive" or "neutral" or "negative" [ Per Marco Rizzo al Tg4 il governo Monti è peggio di quello 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" [#Grillo e il teatrino della politica. Quanto ci piace - Dal blog di Fabrizio Tonellohttp] = neutral
Analyze the sentiment of the news headline enclosed in square brackets, determine if it is positive, neutral, or negative, and return the answer as the corresponding sentiment label "positive" or "neutral" or "negative" [#Grillo e #Bossi : #Lega era forza territoriale separatista, #M5S e' aggregatore nazionale generazionale. Fiducia ai giovani #Muoviti_Italia] = 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" [Beh certo, tenere il cellulare al bar in tasca vicino alle parti intime ci salverà tutti dal tumore. Udine cell free 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" [ beh se tsunade e hashy li curano ho il sospetto dalle foto che anche il primo hokage non amasse invecchiare] = 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" [ notte,grazie per aver parlato con me.] = positive
Analyze the sentiment of the news headline enclosed in square brackets, determine if it is positive, neutral, or negative, and return the answer as the corresponding sentiment label "positive" or "neutral" or "negative" [tutti i politici hanno espresso la preferenza a non entrare nel governo #monti. un bel lavaggio collettivo di mani. bene.] = 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" [Polemica #DiPietro #Grillo :solo una “strumentalizzazione\" che vuol fare chi ha paura di un progetto politico alternativo a questo governo.] = 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" [ *sorride e lo ribacia, annusa le rose* oddio quanto profumano] = 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 vero la politica deve stare in mezzo alla gente perché altrimenti ci sta #Grillo e i suoi falsi ideali] = 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 conferma Manlio Strano segretario generale: ROMA, 2 DIC – Il Presidente del Consiglio Mario Monti, d... 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" [Liam: \"Le nostre fans pensano che non vediamo i loro tweets, in realtà noi li vediamo tutti e a volte è anche spaventoso\".#1DFact] = 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 guadagna consensi e il Pd cosa fa? manda Renzi? fosse stato un film di Pieraccioni, poteva anche starci... #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" [L'Arte Del Pianoforte in Italia: (Da Clementi a Sgambati) Opera Adottata Nel Liceo Musicale Rossini Di Pesaro (I... http] = neutral
Analyze the sentiment of the news headline enclosed in square brackets, determine if it is positive, neutral, or negative, and return the answer as the corresponding sentiment label "positive" or "neutral" or "negative" [il governo monti cercherà di mettere in piedi italia che piange.........speriamo bene e speriamo di vederla ridere ........] = 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 il governo #Monti cede sui #taxi, è politicamente morto. Cedere al teppismo politico è una tipica dichiarazione di inesistenza in vita.] = negative
Analyze the sentiment of the news headline enclosed in square brackets, determine if it is positive, neutral, or negative, and return the answer as the corresponding sentiment label "positive" or "neutral" or "negative" [Premi e riconoscimenti http] = neutral