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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" [Chi è Mario Monti YouTube http via (interessante ed utile)] = 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 aumenta le tasse, la BCE taglia i tassi per dare una mano alle banche, ma ai cittadini chi ci pensa ?] = 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" [Amo questa canzone, glee me l'ha fatta amare ancora di più! c: http] = neutral
Analyze the sentiment of the news headline enclosed in square brackets, determine if it is positive, neutral, or negative, and return the answer as the corresponding sentiment label "positive" or "neutral" or "negative" [RT : Se #DavidBowie accetta il ruolo in #Hannibal, non credo che potrei #sopravvivere alla vista di lui e #MadsMikkelsen vicini.] = 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 : Mai vista la prof di Scienze così sclerata. Timore] = 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" [Diario di viaggio: arrivo a Chongqing - Giornata impegnativa quella della partenza! Arriviamo a Wuxi con un 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" [Anche oggi sono in vacanza. #sapevatelo] = 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" [Grazie per avermi tossito in faccia. Te ne sono grato.] = 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" [Ed ecco che si torna alla base T-T #on] = 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 <3 speriamo per il prossimo anno...] = 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 Italia tutti gusti strani i giovani cantanti, in classifica meglio restargli dietro che davanti\" fa ridere ahahahah #cattiviesempi] = 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 tuo moroso sa che oggi si tornava a scuola?!] = neutral
Analyze the sentiment of the news headline enclosed in square brackets, determine if it is positive, neutral, or negative, and return the answer as the corresponding sentiment label "positive" or "neutral" or "negative" [ yoto cosa ne pensi della 5 stagione di fringe? secondo me è la migliore spero che il finale non mi deluda] = 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" [Nuovo governo monti: dal bunga bunga al banca banca ...] = 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" [ Quanto bisognerà aspettare ancora per prendere visione del #Dossier #Grillo ?] = neutral
Analyze the sentiment of the news headline enclosed in square brackets, determine if it is positive, neutral, or negative, and return the answer as the corresponding sentiment label "positive" or "neutral" or "negative" [ Casini:Trovare un'intesa tra forze politiche opposte e' un'impresa,ma per Governo #Monti ci siamo quasi.Un miracolo. Rendiamo grazie a Dio!] = 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" [oggi mia mamma mi ha svegliata un'ora prima wtf] = 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" [ di sicuro rimanendo terrestri c'è di mezzo la mela di Newton: alla fine cascò] = 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" [ e di cosa si tratta? Non si vede bene (bella la foto). ] = positive
Analyze the sentiment of the news headline enclosed in square brackets, determine if it is positive, neutral, or negative, and return the answer as the corresponding sentiment label "positive" or "neutral" or "negative" [Perchè rovinare un decente #governo #Monti (almeno nei nomi) con Corrado #Passera? (e parlo del personaggio) Speriamo 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" [Napolitano auspica un'efficace e condivisa azione di governo, Monti si prepara a guidare l'esecutivo... 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" [ CIP tutti ma non #Grillo qualcuno serio c'e rimasto...] = 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 : #20ThingsAboutMe Ho un serio problema: se un ragazzo non ha almeno 30 anni sicuro non mi piace.] = negative
Analyze the sentiment of the news headline enclosed in square brackets, determine if it is positive, neutral, or negative, and return the answer as the corresponding sentiment label "positive" or "neutral" or "negative" [IL #governo #Monti cosa dovrebbe fare per aumentare lo Sviluppo del Digitale in Italia? CLICCA E RISPONDI AL SONDAGGIO: 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 è piaciuto un video di http Paolo Meneguzzi - Ho Bisogno D'amore (Videoclip ©NiHi] = 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" [Intanto Bersani dice che il Governo Monti non rappresenterebbe la sconfitta della politica ma o si va a messa, o si sta a casa #giaguari] = 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 7 cose buone fatte dal governo #Monti. L'elenco viene stilato da un insospettabile 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" [ uno dei più grandi di tutti i tempi. perfetto. grazie di cuore #respect] = 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 fatemi capire.. Ancora qualcuno crede alle minchiate di #Grillo ?] = 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" [#WeWantFernandoTorresOnTwitter non fare l'associale, fernando.] = 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" [ alle melanzane di Curo' non si può dire di no! HELLEN LOVES SICILY 😍😘✌ 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" [Qualcuno mi dica che droga usa Mario Monti perché afferma che la manovra crescitalia è piaciuta! Custu deppid'essi calloni!] = 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" [[News] Benzina, l?unico rincaro già pronto per il 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" [eravamo così abituati a ignoranti, cafoni, prostitute, ladri e indagati che l'educazione del governo #Monti ci sembra un miracolo #ministri] = 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" [Berlusconi ha dato il via libera a Mario Monti. E' impazzito? Cosa c'e' sotto?] = 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" [Colico investimento mortale pattegggia la pena: L'uomo investito era morto dopo 49 giorni di ricove... http #lecco #news] = 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" [Juve, Paratici a Brescia per El Kaddouri e definire Leali. Piace anche Arcari come terzo portiere. I 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" [ ma Conte avrà abbastanza fazzoletti?!] = 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" [vuoi lavorare come social innovator per il governo monti? invia il curriculum al ministro profumo http #avvisopubblico] = 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" [I miei auguri al senatore Mario Monti: Al senatore Mario Monti vanno i miei più sentiti auguri di buon lavoro.... 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 e pronto a fotterci la vita e cari amici bisogna pagare un debito non fatto da noi] = 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" [Qualcuno ha il link della puntata di icarly?] = 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 ! Mantengo la promessa che ti ho fatto! ;)] = 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 : Gravi minacce a un senatore grillino: "Ti disattiviamo il caps lock". []] = 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" [ mmmh.. va bene frà? io chiamo tutti così (es. monica -> mò) #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" [30 anni son passati..... Buon compleanno “Melissa“ . (Maurizio) 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" [Quello del Cav è un passo indietro. Quello di #Napolitano, con #Mario Monti, sembra un doppio passo. Anzi, una rabona. #FullMonti #Colle] = 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 scritto \"porta\" al posto di \"porti\". Adesso so tutto di economia politica e gnente di italiano. Ma complimenti.] = 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" [ONORE A MAURIZIO BERARDINUCCI ....ONORE AL CORPO NAZIONALE DEI VIGILI DEL FUOCO 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" [: non voto,non riconosco il governo Monti Chi l'ha detto? Scilipoti. Chi?] = 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" [discorso di Mario Monti al Senato 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" [Fitch promuove Governo Monti, può essere una sorpresa positiva per mercati http 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" [il Governo Monti ha dichiarato di voler dare una svolta alla politica italiana. Preso da troppo entusiasmo, ha svoltato di 360°...] = 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 dove sono 20 e la signora? non vengono su twitter] = 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" [ tu ridi sempre anche quando non ce ne e' alcuna ragione... sei tranquilla] = 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" [Tutt'Italia si chiede quanto durerà il #Governo #Monti ?! Ovvio! Tempo di una scalata! #oramonti #sapevatelo] = 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" [Quella di Beppe #Grillo è anti-politica? | Alessio Liberati | Il Fatto Quotidiano http #m5sTour #m5s] = neutral
Analyze the sentiment of the news headline enclosed in square brackets, determine if it is positive, neutral, or negative, and return the answer as the corresponding sentiment label "positive" or "neutral" or "negative" [Venerdì Santo. Un abbraccio a tutti.] = positive
Analyze the sentiment of the news headline enclosed in square brackets, determine if it is positive, neutral, or negative, and return the answer as the corresponding sentiment label "positive" or "neutral" or "negative" [ Complimenti per avere tradito il voto dei vostri elettori dando la fiducia al governo monti] = negative
Analyze the sentiment of the news headline enclosed in square brackets, determine if it is positive, neutral, or negative, and return the answer as the corresponding sentiment label "positive" or "neutral" or "negative" [ bello molto bello allora.. Anche io ho preso tutto bianco nella casa nuova..😘😘] = 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 meraviglia,io tutto apposto e te? sdfghjkl. :3] = 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" [ci hanno messo in mutande..ridicolizzati in tutto il mondo.vietano ai poveri di curarsi. la gente cosa fà? critica #Grillo povera italia] = 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" [Andria blitz della polizia arrestato pregiudicato 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" [ FERMI TUTTI ho trovato un'altra persona a cui piace Fallen **] = 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' un Governo strano: le cose si fanno Come scusi? Dicesi governo #Monti #chetempochefa] = 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 in Parlamento annuncia rigore, crescita, equità 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" [ mami, stupenda la recensione di a song for xx. spero che parlerai anche degli altri album perché ho imparato un sacco da questa :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" [Bossi ha appena detto che il governo Monti fa schifo, perché è un governo di improvvisatori. Senza commento.] = 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" [Migliaia di persone per #Grillo in piazza Duomo a Milano. Era circa un anno fa, si sa com'è andata http] = neutral
Analyze the sentiment of the news headline enclosed in square brackets, determine if it is positive, neutral, or negative, and return the answer as the corresponding sentiment label "positive" or "neutral" or "negative" [ Ci Sei stata?? Anche io la Adoro..] = 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 : stile mafioso..ma loro nn lo vedono..e parlano di democrazia..i #piddiellini] = 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" [#ServizioPubblico non sa ancora che fare da grande riguardo il #M5S e #Grillo 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" [ - prese un altro paio 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" [Quell'idiota di #Grillo dice di fare default. http Ecco perché sarebbe una follia 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" [ della serie non ne resterà 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" [ le delusioni capitano a tutti. non arrenderti! :)] = positive
Analyze the sentiment of the news headline enclosed in square brackets, determine if it is positive, neutral, or negative, and return the answer as the corresponding sentiment label "positive" or "neutral" or "negative" [: comunque tra poco Mario Monti ci farà un culo come una capanna. Mario Capanna Monti (magari)] = 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" [Vendola valuta il nuovo 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" [Per una volta d'accordo con Oscar Giannino/ nella sua lucida analisi e nell'auspicio di un governo Monti è più responsabile dei berluscones.] = 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 MASSONE, SERVIRE LE BANCHE LA TUA PROFESSIONE NTA] = 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" [approfondirete la figura di 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" [ #Grillo ciò che ha lo ha fatto da sè Non ha preso nulla allo Stato. Conosco qualcuno che lo ha fatto e continua] = 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 Nord organizza una manifestazione contro il Governo #Monti, il 22-01-2012 in Piazza Duomo a Milano, partenza ore 10 Piazza Castello] = 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 lo dico sempre io le riunioni di #MIAMO hanno tutto un altro stile!] = 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 un sorriso s'innamora il 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" [ e anche se fosse? #Grillo è l' esempio del #populismo più becero. Ti fidi di uno così?] = 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" [Nn so che fare!!!!!!!] = neutral
Analyze the sentiment of the news headline enclosed in square brackets, determine if it is positive, neutral, or negative, and return the answer as the corresponding sentiment label "positive" or "neutral" or "negative" [Consultazioni: Melchiorre (Lib-dem), si' a governo Monti, fara' ripartire Paese: Roma, 13 nov. – (Adnkronos) – "... 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" [Egregio Professor Monti, pagherò volentieri la tassa sui cani che mantengo a casa, se mi toglierà la tassa sui maiali che mantengo a Roma...] = negative
Analyze the sentiment of the news headline enclosed in square brackets, determine if it is positive, neutral, or negative, and return the answer as the corresponding sentiment label "positive" or "neutral" or "negative" [Si ritorna a fare allenamento dopo una lunga vacanzetta #forzaecoraggio #forzabiancoverdi] = neutral
Analyze the sentiment of the news headline enclosed in square brackets, determine if it is positive, neutral, or negative, and return the answer as the corresponding sentiment label "positive" or "neutral" or "negative" [ si agnese ecco..io avrei fatto un altro 'regalo' per te, per ringraziarti di tutto, per aver reso la mia vita migliore, più-] = 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" [Siete più scontati dei prezzi di luglio. #gobbi] = 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" [Batteria 2%...buonanotte a 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" [UNIMI Scienze politiche. Vorrei ringraziate tutte le ragazze che seguono Storia dell'America del Nord per... 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 : Governo #Monti si attribuisce ruolo di salvatore della patria ma la sua non è la ricetta giusta .] = 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" [Google art project, l'arte online dai Musei più importanti del mondo - Corriere Roma http] = neutral
Analyze the sentiment of the news headline enclosed in square brackets, determine if it is positive, neutral, or negative, and return the answer as the corresponding sentiment label "positive" or "neutral" or "negative" [Qualunque cosa orribile tu possa fare o anche solo pensare...Io starò dalla tua parte e ti... 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" [#Grillo ci salverà tutti?Ma come si può dar seguito ad uno che basa tutte le sue idee solo sulla critica degli altri partiti? #piazzapulita] = 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" [#Asparagi #disintossicanti per il fegato, dopo #alcol e disordini culinari delle feste 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" [ uh si si belli i bacetti....so dai sei perdonata...alle nonnine su perdona tutto] = positive