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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" [ #Grillo fa capire quanto basso sia oggi il livello politico . #siamoseri] = 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" [Peluffo al posto di Malinconico, Olivi nuova portavoce. Restyling nel 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" [Mi piace l'atteggiamento di #Grillo nel suo blog. Pubblica tutti gli attacchi che gli fanno, li mette alla luce... 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" [ i piccoli partiti rendono ingovernabile il paese, però. E non si può fare nulla. Su questo ha ragione purtroppo 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" [ se guardi bene gli estintori non li usa nessuno sono sempre li appesi...] = 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 pranzo da nonna. Tornerò rotolando] = 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" [Controlla questo video ITALIANI NON ESULTATE: MARIO MONTI E' L'ENNESIMO BURATTINO! 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" [http Invece della spina, ricaricheremo (quasi) tutto dalla porta Usb #Sapevatelo #Tech #StartUp] = 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" [Asko: La canzone che meglio rappresenta l'amore per te :) ? — favola-modá ♥ 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" [E poi, cosa cazzo ci riempiamo le bocche con le parole più belle del mondo, se poi non sappiamo neanche apprezzarle. Cosa. Cosa, eh?] = 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" [ hahahaha anche io 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" [ 'grazie della fiducia' ...ho vinto qualche cosa?] = 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 mani legate del governo Monti: 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" [road map definita: approvazione legge stabilità, #dimissioni #berlusconi, consultazioni, governo #monti. poi #elezioni a marzo?] = 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 : - ZAYN, É UNA BRAVISSIMA CANTANTE ED HA PURE LA FORTUNA DI ESSERE BELLA. VI RICORDO CHE, A DIFFERENZA DEI ONED, LE LITTLE MI…] = 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" [ mmm #Grillo (razzista e omofobo http prende più i voti dell'idv che della lega] = 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 e Mario Draghi #Italiaresiste] = 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 ** e grazie del follow!] = 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 : Uscire dalla stanza in pigiama e trovarsi davanti sconosciuti che ti fissano. Cos'è? Non avete mai visto un pigiama co…] = 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 nominato senatore a vita: http I tempi per arrivare alle dimissioni di Silvio Be... 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" [la \"vera\" musica è quella che ti fa venire i brividi,quella che fa la TUA storia,non la storia della musica.] = 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 è sotto scacco del Conflitto d'Interessi di B. ed è imbarazzante l'ammissione del baratto fiducia e #FrequenzeTv #Ballarò] = 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" [ sono davvero belle come scuole c: delle mie amiche vanno alle magistrali e dicono che è davvero una bella scuola.sknjsxb c:] = 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" [ da milanista 6 un fenomeno sia come giocatore sia come uomo ogni volta ke scendi in campo è uno spettacolo per tutto il calcio] = 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 : Ancora Giannino invitato come opinion-leader e presentato come modello? #lagabbia] = 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 ieri a Conegliano ha detto che pagare le tasse e' giusto ma vuole conoscere la destinazione d'uso. Anche la Lega diceva cosi'...] = 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" [non so come abbia dormito questa notte #Pogba, io benissimo grazie a lui...e se mi scampanella x 1 po' d latte, gli mungo la mucca!] = 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 ha detto ke dobbiamo cambiare stile di vita... ANCORA? una regolatina a politici e pubblici amministratori no eh? #SiamoAlleSolite] = 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" [ non ci sara' nessun governo monti...Ci saranno invece elezioni anticipate...] = 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" [ ciao giorgione! ieri ho iniziato un corso di cabaret a teatro.. stradivertito..speriam bene!! consigli?? :D] = positive |
Analyze the sentiment of the news headline enclosed in square brackets, determine if it is positive, neutral, or negative, and return the answer as the corresponding sentiment label "positive" or "neutral" or "negative" [Amo economia #ironia #fuck] = 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 funambolo ... Mustafà, il mago della patata (e della carota): ROMA – Nel mercato romano di Porta Port... 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 giura al Quirinale Napolitano: Sono soddisfatto ] = 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" [Alle prossime elezioni andranno tutti a votare #Grillo ... Tanto ormai non ci resta che ridere per non piangere #politica] = negative |
Analyze the sentiment of the news headline enclosed in square brackets, determine if it is positive, neutral, or negative, and return the answer as the corresponding sentiment label "positive" or "neutral" or "negative" [Enrico Mentana: «Il successo (possibile) di #Grillo è un effetto, non una causa della #crisi dei #partiti» 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" [Una chicca della comicità italiana... Benigni e Mario Monti :D 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" [Ok, Grillo, va bene. Ma dicci anche come si fa #Grillo #Robinson #sfacelo] = 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" [SPECIALI OFFERTE WEEKEND: Hotel con Spa Terme della Fratta: OFFERTE WEEKENDGrand Hotel con Terme e Centro Beness... 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, segnali positivi, incoraggianti e congratulazioni dai premier dei grandi paesi eu, speriamo bene. #lungavitagovernomonti] = positive |
Analyze the sentiment of the news headline enclosed in square brackets, determine if it is positive, neutral, or negative, and return the answer as the corresponding sentiment label "positive" or "neutral" or "negative" [No al governo Monti, che rappresenterebbe il sistema bancario e finanziario, persino in difesa delle speculazioni. Si pensi ai cittadini] = 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" [ anche io lo sto vedendo ahahahhaha] = 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 : no è uguale al primo :)] = 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" [Dice che se il prossimo governo #Monti non te convince, sei anti-italiano e non vuoi bene manco a #Napolitano... e manco a Gesù.] = 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'Espresso: La dura vita dei siti indipendenti - http - by ] = 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" [Niente politici nel governo Monti. Per me va benissimo...] = 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 nelle 4000 #Parafarmacie E il delitti #farmaci C senza ricetta ?Intanto #federfarma fa' lobby su #balduzzi .Man !] = 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 00:08 1.#serviziopubblico 2.#piazzapulita 3.#Grillo 4.Trota 5.Prince Of Persia 6.Franca Rame 7.Billboard Awards 8.Lega] = neutral |
Analyze the sentiment of the news headline enclosed in square brackets, determine if it is positive, neutral, or negative, and return the answer as the corresponding sentiment label "positive" or "neutral" or "negative" [ Grazie Wendy:)] = 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" [Ritrovata la salma di Mike Bongiorno. Giusto in tempo, nel Governo Monti c'è ancora un Ministero libero] = 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" [Enrico Morando (Pd) al Foglio: "Il governo Monti ha cambiato il Pd. Ora Bersani deve convocare presto un congresso per ridiscutere la linea"] = 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" [Se affronti con coraggio le tue paure, scoprirai che erano solo paure. (di Stephen Littleword) 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" [A volte vorrei spegnermi e non pensare più a niente e a nessuno] = 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" [Nella lista dei potenti della Terra il primo posto è una poltrona vuota /read in 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" [Vai così super Mario #Monti! Non mollare !] = 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 tutte queste pubblicità di farmaci contro il bruciore di stomaco sono dovute agli stravizi natalizi o alle virtù 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" [Assotutela?.net: "Il Governo Monti vuol colpire i consumi per ridurre il passivo della... 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" [POLITICA. NAP oggi: Viva soddisfazione per un governo che nasce in un clima positivo , http #Governo, #Monti, #Napolitano] = 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" [#Passera dice che potrebbero pagarmi in #Bot ..ma dal salumiere me li accettano? #finanzacreativa #crisis #sviluppoeconomico #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" [Governo #Monti: sono migliaia le mail e lettere con cui gli italiani fanno suggerimenti sulla #manovra. Leitmotiv: abbattere costi politica] = 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: Allen Sinai, Monti eccellente, priorita' tagliare spesa: Roma, 11 nov. ? (Adnkronos) ? Mario Monti sare... 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 centro-sinistra riparte da Napoli! PRC:FERRERO, DA NAPOLI È EMERSA OPPOSIZIONE A 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" [Verso una nuova cifra comunicativa con il Governo #Monti? #Ferpi: 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" [ ma grazie, Stefano] = 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" [Controlla questo video La protesta farsa dei sindacati contro il governo Monti 12 dicembre 2011... 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" [COL GOVERNO MONTI,IL PAPA STRANIERO ALLA POLITICA, NASCE LA TERZA REPUBBLICA: ORMAI SIAMO STRETTAMENTE SOTTO IL... http] = neutral |
Analyze the sentiment of the news headline enclosed in square brackets, determine if it is positive, neutral, or negative, and return the answer as the corresponding sentiment label "positive" or "neutral" or "negative" [L'editoria non è la Fieg. Una gran bella lettera di a Mario Monti 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" [Dall'antipolitica #Grillo si e' passati alla politica con miss padania! Ma quello del pd e' sveglio o soffre di jet-lag?] = 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 camera dei deputati approva la manovra del governo Monti con 495 voti a favore. AFP] = 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" [C'è una coppia di manzi che ciao proprio.. #IKEA e io giro con due figli a carico -.- NON SONO MIEEI!] = 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" [Professor #Monti ma non è che a pagare saranno sempre i soliti? Per adesso, tra #pensioni e #iva, di #equità e #crescita non c'è traccia] = 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" [Appena segnalato traffico su Dir. Acilia, Ostia, Roma, http usando - Social GPS.] = 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" [ Ok, non aggettivi per descriverti!!! Non sono abbastanza per te!!! *___* 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" [E il governo Monti non toccherà la legge elettorale. Sento puzza di Pentapartito 2.0. #doposilvio] = negative |
Analyze the sentiment of the news headline enclosed in square brackets, determine if it is positive, neutral, or negative, and return the answer as the corresponding sentiment label "positive" or "neutral" or "negative" [TT Twitter Italia 22:00: 1.#Grillo 2.#serviziopubblico 3.#primoLibro 4.Renzi 5.Prince Of Persia 6.Franca Rame 7.Partito della Nazione] = neutral |
Analyze the sentiment of the news headline enclosed in square brackets, determine if it is positive, neutral, or negative, and return the answer as the corresponding sentiment label "positive" or "neutral" or "negative" [Mario Monti ama la bici. Bene, voglio apprezzarlo per questo motivo e magari sistema qualcosa a favore delle due ruote.] = 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" [ mah, infatti si :) cmq sono stata spostata anche prima, c'è da morire -.-] = 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" [ Sarà in Italia ahahha] = 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 e buona domenica !!! 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" [Qui sono io che faccio le domande. Non tu. ಠ_ಠ — 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" [Raga, mi esce che ho votato troppe volte.. come faccio a votare? #aiutatemi] = 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 io non sono nelle foto ufficiali, sono stata tutto il tempo in giro AHAHHA] = 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" [Manovra/ Ferrero: stangata sociale del governo Monti contro i lavoratori | umbrialeft.it 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" [Probabile una soluzione identica a quella di Atene: un governo di larghe intese con a capo 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" [Con #Grillo sembra tutto facile http #blog #politicapalazzo #beppegrillo #cultura] = 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" [SONDAGGIO CRESPI RICERCHE, QUASI FINITA LA LUNA DI MIELE: MARIO MONTI AL 56% 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" [The Asch Experiment: http via ecco perchè nelle riunioni alla fine litigo sempre con tutti :)] = 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" [ se avessi i soldi, sì XD 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" [RT : io ti odio NON PUÒ ESSERE FINITO COSÌ NON PUÒ] = 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" [#LinkedIn: 200 milioni di iscritti, 4 milioni in Italia 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" [Una cosa positiva del governo Monti è la produttività, ora finalmente avremo uno standard al quale confrontare i successivi governi.] = 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 occidentalista, banchiere, massone, antifascita: insomma, un mafioso] = 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" [fattoquotidiano: #Grillo attacca #Vendola: \"Supercazzola che fa affari con la Marcegaglia\" - Video 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" [Governo Monti pronto: domani al Quirinale «Lavoro proficuo, Italia supererà la crisi» Il Messaggero 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" [Italia illegal operation via 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" [#Frequenze TV, il governo #Monti pensa solo a #Rai e #Mediaset 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" [#OMMHSC Oh mio Dio Che gol ha fatto #Belhanda 😲😲😱😲😱] = 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" [Orto Botanico Cagliari: a ormai 1 anno dal primo attacco ad opera del punteruolo rosso, non è stata ancora tagliata la P. dactylifera morta] = negative |
Analyze the sentiment of the news headline enclosed in square brackets, determine if it is positive, neutral, or negative, and return the answer as the corresponding sentiment label "positive" or "neutral" or "negative" [ Grazie per invito,dipende dal lavoro,comunque sempre in contatto] = 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" [ é un play con le palle! davvero bravo] = 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 ioooooo :-(] = negative |
Subsets and Splits