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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" [ Comunque, la giornata per i blog letterari dovrebbe essere istituita. Pensateci. ;-)] = 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' quando ti accorgi di essere geloso anche di un cazzo di mi piace che realizzi quanto hai paura di perdere qualcuno..] = negative |
Analyze the sentiment of the news headline enclosed in square brackets, determine if it is positive, neutral, or negative, and return the answer as the corresponding sentiment label "positive" or "neutral" or "negative" [RT : #rt seguimi e ti seguo in più ti voto il profilo in: 🌕perfetto 🌔bellissimo 🌓bello 🌒carino 🌑consiglio:cambialo x7] = 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" [#unminutopervincere un saluto da aversa siete forti ragazzi] = positive |
Analyze the sentiment of the news headline enclosed in square brackets, determine if it is positive, neutral, or negative, and return the answer as the corresponding sentiment label "positive" or "neutral" or "negative" [L'#antipolitica sa essere anche più noiosa della #politica. #Stereotipi #Grillo #Demagogia #Populismo] = 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" [Camusso: "Ottenere modifiche sulle cose più problematiche per lavoratori e pensionati. Il professor #Monti deve cambiare opinione".] = 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" [ andrà tutto bene.] = positive |
Analyze the sentiment of the news headline enclosed in square brackets, determine if it is positive, neutral, or negative, and return the answer as the corresponding sentiment label "positive" or "neutral" or "negative" [Il report di tutte le #manifestazioni studentesche d'Italia: #Studenti in piazza: "Non ci fidiamo del 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" [Il giudizio degli italiani sulla manovra del governo Monti http Ecco cosa pensano gli Italiani sulla nuova manovra di 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" [Riguardando il video di kiss you, all' incirca una migliaia di volte, mi sono accorta di quanto Louis e Niall siano sexy in quella macchina.] = positive |
Analyze the sentiment of the news headline enclosed in square brackets, determine if it is positive, neutral, or negative, and return the answer as the corresponding sentiment label "positive" or "neutral" or "negative" [ Governo Monti, il Vaticano: «Bella squadra». Sono i tifosi a fare schifo. Insuperabile :D] = negative |
Analyze the sentiment of the news headline enclosed in square brackets, determine if it is positive, neutral, or negative, and return the answer as the corresponding sentiment label "positive" or "neutral" or "negative" [VUOLE PROVARE MASSAGGIO SPECIALE?VENITE FARE DOLCE MASSAGGIO... - Donna cerca uomo Bergamo - 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 : #Mexes e #Kaka nella TOP 11 della terza giornata della #ChampionsLeague. #ForzaMilan 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 sono forse titolato a dirlo.... Ma professor #monti mi ha deluso è sicuramente capace ma le è mancato il coraggio di vere scelte....] = negative |
Analyze the sentiment of the news headline enclosed in square brackets, determine if it is positive, neutral, or negative, and return the answer as the corresponding sentiment label "positive" or "neutral" or "negative" [A Montecitorio un MegaCondom per il #WorldAIDSDay. Chiediamo al Governo #Monti di fare prevenzione e informazione http] = neutral |
Analyze the sentiment of the news headline enclosed in square brackets, determine if it is positive, neutral, or negative, and return the answer as the corresponding sentiment label "positive" or "neutral" or "negative" [ho finito la tavola in 15 minuti, kiss my ass.] = 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" [Oh, ecco, ora sto più tranquillo: pare che MaryStar #Gelmini si sia guadagnata la riconferma nel prossimo 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" [Sul sito del Fatto il video di Mario Monti che splendido sole oggi #finecorsa #doposilvio] = 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" [“@marcotravaglio: #Grillo contro Maciste http via ” Marco,grazie! Perché non ricordo ste cose!] = 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 chi piace Mario Monti dico: #Commissionetrilaterale #goldmansachs e gruppo #Bilderberg SVEGLIA! #governomonti #serviziopubblico #fail] = 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" [POLITICA. A Napoli oggi De Magistris fa rete con amministratori del Sud e anima opposizione a governo Monti+unanimismo che lo sostiene.] = 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" [(tempestivi) L'intervista di Mario Monti a Che tempo che fa (video) http] = positive |
Analyze the sentiment of the news headline enclosed in square brackets, determine if it is positive, neutral, or negative, and return the answer as the corresponding sentiment label "positive" or "neutral" or "negative" [È più forte di me. Non li capisco. OccupySapienza. Il governo Monti sarebbe addirittura peggiore di B. E protestano, ma per cosa? #linfedele] = 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. A presto.] = 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" [Nato il governo #Monti, speriamo rinasca l' #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" [B.: Il governo Monti è una «sospensione certamente negativa della democrazia». Non scherziamo, poi la gente ci crede. 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" [Oggi ci vediamo tutti al compleanno di Benny XVI, ore 18:00 in Piazza San Pietro, non dimenticate i Mini Ciccioli.] = 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" [Chi ti conosce meglio di chiunque altro? — io mi conosco meglio di tutti!!! 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" [Anche #Grillo spara cazzate http #M5S #IDV #rimborsi #referendum] = 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 sarà insultando #Grillo che riconquisterete la fiducia della gente. #partitiAntichi] = 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 grande sposerò Gary Oldman. Anche se sarà vecchio sarà comunque un fregno pazzesco.] = 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 non altro adesso ce lo mettono in culo in maniera molto più elegante. #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" [La Sinistra nell'era del Governo Monti: costruiamola insieme. 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" [Ce la puoi fare. Fides fidei fidei fidem fides fide.] = positive |
Analyze the sentiment of the news headline enclosed in square brackets, determine if it is positive, neutral, or negative, and return the answer as the corresponding sentiment label "positive" or "neutral" or "negative" [Chi paragona i #Pirati a #Grillo e mette tutto nel calderone dell'antipolitica o non conosce la politica tedesca o è un giornalista italiano] = 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 sara' ospite della puntata di 'Matrix' in onda mercoledi' 1 febbraio alle 23.30 su Canale 5.] = 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 si tifa italia cazzo, 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" [“@gabrielepinese: #Grillo fa bene a evitare la tv\" a dire il vero non fa mai neanche un contraddittorio neanche via web che lui ama tanto] = 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" [Sciara su tweet was born. [Grazie all'amico e collaboratore Domenico Spampinato].Sciara parla di Belpasso, di belpassesi e su Belpasso.] = 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 è un caso che i Queen abbiano fatto da colonna sonora al film Highlander. #immortali] = 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. Mario Draghi. Mario Balotelli. Ok: è un complotto.] = 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" [Dati fiducia a governo Monti alla Camera: 18 novembre, 556 sì; 16 dicembre, 495 sì; 26 gennaio, 469 sì. Da novembre a oggi 93 voti in meno] = 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 Draw My Life - Kratos, God of War] = 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 una non deve piangere. http] = negative |
Analyze the sentiment of the news headline enclosed in square brackets, determine if it is positive, neutral, or negative, and return the answer as the corresponding sentiment label "positive" or "neutral" or "negative" [ma va! #Ferrara ascolta #radioradicale. Bene, in effetti oggi trasmettevano il comizio di #Grillo #Inonda #m5s #grillini #antipolitica #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" [“ti dico una cosa, ma non dirla a nessuno: l’unica persona che merita le tue lacrime, non ti farà mai piangere.”] = 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" [Scoppia incendio in una fabbrica ad Alfero, ustionati due dipendenti: Grave incidente sul lavoro mercoledì pom... 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" [Nessun accordo tra Mario Monti e i sindacati. Confermato lo sciopero di tre ore 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" [Quanto amo katherine #TVD] = 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" [Questa Roma niente male ci fa fare un buon Natale, e chi invece non fa sconti è sto cazzo de 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" [Il piano per cui lavora 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" [ Sostegno doveroso al Governo Monti per garantire rigore, equità e crescita 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 le condizioni che pone B al governo Monti sono un bluff (nel senso che si sfalda il pdl) secondo te?] = 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 #genova Ponte di Carasco/ I Pm nominano i periti: stabiliranno le cause del crollo] = neutral |
Analyze the sentiment of the news headline enclosed in square brackets, determine if it is positive, neutral, or negative, and return the answer as the corresponding sentiment label "positive" or "neutral" or "negative" [ TUTTI PAZZI PER MATERAZZI! 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" [RT : Ho un complesso di inferiorità verso il mio computer perché lui è più intelligente di me] = 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" [Incredibile! Voyager smaschera 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" [ *sorride* dio lo 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" [ #Grillo avrà anche esagerato,ma non si permetta Lei e tutto il #PD di continuare ad essere dei #parassiti sociali (vale per tutti)] = negative |
Analyze the sentiment of the news headline enclosed in square brackets, determine if it is positive, neutral, or negative, and return the answer as the corresponding sentiment label "positive" or "neutral" or "negative" [Mi aiutate a cercare Mario Monti in questa lista? 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" [ ,vestirà in modo bizzarro, ma è uno dei giornalisti economici più preparato e intellettualmente onesto che ci siano in 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" [ triste che il nostro Paese si aggrappi ai comici. Ancora più triste che la sinistra italiana li tema #Grillo #Pd #news #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" [ a dare un senso nel dare i punti fino alla 15^ posizione... Tutto qui...] = 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" [SEGUITE SE LO FATE DITEMELO E VI FACCIO UNO SHOUTOUT (anche più volte) :)] = 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 il rispetto e' importante, pur in presenza di diversi modi di pensare, e #Grillo non ne ha per 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" [La risposta di #Alemanno alla #Fornero nel governo #Monti c'è lo stesso rapporto di presenze tra uomo e donne 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" [ No no quella! Dio mio quanto ben di 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" [RT : “Buongiorno papà“ “ vaffanculo Gianluca“] = 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" [ una specie lol. la madre è parrucchiera quindi lei se la cava. e poi gia se li era fatti anche per lei 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" [Presidente, chapeau!: Trovo semplicemente geniale la nomina di Mario Monti a senatore a vita. Lasciamo stare alt... 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" [De Magistris: non mi riconosco nel governo Monti http #politica #demagistrismonti #giampaolodipaola] = 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" [ franz krahler riceve a luglio tutti i colori!] = 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, governo Monti? Un miracolo: Trovare intesa tra forze opposte in Parlamento è vera impresa 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" [bloccato al momento il #ponte sul #volturno...contro il #governo #monti contro il #gassificatore e il nuovo #piano #rifiuti] = 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" [SONDAGGIO IPR MARKETING: A UN MESE DALLA NOMINA LA FIDUCIA IN MARIO MONTI CALA AL 58% 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" [ oh 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" [ Non ce la faccio più. Ci lasciamo, rischio una cazzo di denuncia per un fake per avere fatto uno scherzo scemissimo,la scuola] = 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 -ai ragazzi delle estreme periferie romane - a chi non ha nulla ,nella vita -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 vita...un viaggio prezioso e irripetibile.irripetibile(agg. Che non si può ripetere), eccezionale,... 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" [ On. Martino #pdl Impossibile il pareggio di bilancio, il #governo #Monti sbaglia, siamo costretti ad appoggiarlo #fisco] = 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 a 5 Stelle, nei #Sondaggi schizza a 7,2 il suo #Movimento. Il Trionfo della Anti #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" [ Una misura di lotta all'evasione sono i non condoni (Mario Monti). 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" [#GOVERNO #MONTI. FINISCE LA POLITICA, E CI LASCIA SOLI, da http 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" [Un governo Monti con Berlusconi dentro! 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" [ Ministro #Barca grazie al #governo #monti abbiamo evitato la catastrofe economica per il sud italia #fisco] = 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 al non statuto #Grillo reprime il non dissenso.] = 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" [CANDELORA 2013 - decennale della riapertura al culto della Chiesa della Madonna della Cava 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 : 'Noi Potterheads' pt 8 MA QUANT'È BELLA??! NO, MA DICO IO, QUANT'È BELLA??!! 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 ho "dormito" mentre gli incubi mi tormentavano :(] = 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" [Prima seduta con il segno positivo per Piazza Affari (+0.79%) in questa settimana del nuovo governo Monti.] = neutral |
Analyze the sentiment of the news headline enclosed in square brackets, determine if it is positive, neutral, or negative, and return the answer as the corresponding sentiment label "positive" or "neutral" or "negative" [grande mario monti...orgoglioso di avere un presidente del consiglio così] = positive |
Analyze the sentiment of the news headline enclosed in square brackets, determine if it is positive, neutral, or negative, and return the answer as the corresponding sentiment label "positive" or "neutral" or "negative" [questo governo #Monti, tra Buttiglione, Amato, Dini, Palma, i due Letta e chi più ne ha più ne metta... Un incubo!] = 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" [ Cmq, secondo me, la cosa importante è non aprire il link che invia. Scrivi anche questo msg per i tuoi follower] = 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" [ Ilvo Diamanti sta giustamente dicendo che riavvicina la gente alla politica,della quale #Grillo entrerà a far parte con 1 part.] = 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" [Antonione interrotto dai cori: traditore . Brutto spettacolo per il nascente governo Monti. Cari deputati, più stile. Il mondo ci guarda.] = 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: che ne pensano e pensavano alcuni illustri giornalisti 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" [Fenomenale servizio su Mario Monti! #11-11-11 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" [RT : 'Noi Potterheads' pt 22 VIA, NON C'È NIENTE DA VEDERE, SONO SOLO UNA RAGAZZA CHE PIANGE DISPERATA, AVETE PROBLEMI??!! h…] = 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 18 al centro congresso frentani costruiamo l'opposizione comunista al governo Monti! Partecipate! 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" [dimenticavo!Grande Mario Monti a che tempo che fa!] = positive |
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