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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" [ Noi non sosteniamo il governo Monti, noi sosteniamo l'Italia bellissimo!] = 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" [ “lettera a un amico ehreo“ di Sergio Romano. Un po' suscettibili lo sono davvero] = 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 [VIDEO] Ci hanno regalato la #crisi | Italia dei Dolori: http #Norimberga? No: galera!! 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" [RT : Forse, finalmente, per una domenica si parlerà di Giuseppe Rossi (un vero esempio per tutti) e non di Mario Balotelli. For…] = 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 diciamocelo. Se quello che sta passando con il governo #Monti l'avesse fatto Berlusconi staremo facendo le barricate] = 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" [I liked a video http Incredibile! Voyager smaschera 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" [#rt seguimi e ti seguo e ti aggiungo alla mia lista aumenta followers 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" [Ma se il governo monti è ostaggio di una politica stantia e di una maggioranza trasversale di inette testedicazzo che cazzo ce sta a fa?] = 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" [ HAHAHAHAH fatto 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" [RT : Odio le relazioni a distanza, il frigo è così lontano dal mio letto! ugh..] = 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" [[News] Mario Monti a capo del Governo tecnico? Come avere un marziano a Roma 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" [Stato del #debito etica della colpa. 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" [Siamo a 50 #followers grazie 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" [Mario Monti....la mia è una disponibilità generosa per guidare il governo.....quanto ci costa questa generosità? 20mila o 30mila al mese?] = 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 'Torn' non scherza però!] = 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" [Peperoni e patate al forno ....,.che dire? Complimenti alla cuoca!!!!] = 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, l'allievo dei Gesuiti che piace alle Banche e Finge di voler Aiutare gli Italiani Chiedendo Sacrifici ai più Deboli.] = 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" [#Piazzapulita Lo #spread di nuovo sotto quota 360. Il Governo #Monti convince i mercati? Voi cosa ne pensate?] = 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 : Buon compleanno Diego Armando Maradona! (53 tahun). 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" [La frase di Mario Monti sul gesso da togliere all'economia italiana mi ricorda quelle convalescenze lunghe e tristi...] = 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" [Kl1p, condividere velocemente tutti i tipi di testi 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" [del governo #Monti il 31% apprezza che decida in tempi brevi: ci sono anche io!] = 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 un uomo di Stato: ma di quale Stato?] = 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" [PROSSIMAMENTE IN TUTTA L' ITALIA Mario Monti & Co presentano.. 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" [#mammahoripersolaereo può essere vecchio quanto vi pare ma rimarrà sempre uno dei film piu belli che ci siano.] = 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 : Ma esattamente, Valerio Scanu a quale specie vivente appartiene?] = 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 si vanta di ridurre il debito con i recuperi dell'evasione, da imputare invece alla riduzione della tassazione complessiva] = 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" [#Vauro: È più facile fare satira sulla Fornero e su questo governo che su Berlusconi . #governo #monti] = positive
Analyze the sentiment of the news headline enclosed in square brackets, determine if it is positive, neutral, or negative, and return the answer as the corresponding sentiment label "positive" or "neutral" or "negative" [Professor Monti ma si rende conto che i creditori non credono alle sue ricette?] = 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" [ magari si potesse 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" [: Gianni Letta: Sicuramente non farò parte del governo Monti (ag Dire) e meno male!] = 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 è tanto severo contro tutti quanto clemente e comprensivo con lega e leghisti.. #serviziopubblico] = negative
Analyze the sentiment of the news headline enclosed in square brackets, determine if it is positive, neutral, or negative, and return the answer as the corresponding sentiment label "positive" or "neutral" or "negative" [La felicità non esiste. Esistono solo momenti in cui si raggiunge l'apice dello stare bene, ma è destinato a finire anche quello.] = 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" [Bella sta verifica ..... ] = 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" [Attraversiamo un campo minato...Tutti al passo del leopardo...!] = 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" [Buon giorno e buona domenica a tutti.. Vi voglio ricordare che la nostra strepitosa OFFERTA \"Camere a Metà PREZZO\"... 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" [Un pensiero: Dobbiamo avere fiducia in noi stessi per preparare un'Italia migliore per i nostri figli. (Mario Monti)] = positive
Analyze the sentiment of the news headline enclosed in square brackets, determine if it is positive, neutral, or negative, and return the answer as the corresponding sentiment label "positive" or "neutral" or "negative" [#serviziopubblico Renzi critica #Grillo ma poi cerca di fare il comico con risultati disastrosi... manco quello riesce a fare.] = 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 Il Governo Monti vuol colpire i consumi per ridurre il passivo della Bilancia comme... 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" [ :) capito] = 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" [ scritto è una cosa insensata.] = 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" [ In realtà #Grillo sembrerebbe essere in trincea con la #lega. Almeno dopo le ultime dichiarazioni, no?] = 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" [Un Roberto a caso per voi ;) ...da ieri sono in fissa con queste foto: barbetta accennata, viso rilassato, fisico... 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" [ hai ragione, ecco perchè l'italia si è ridotta così e poi se la prendono con le pensioni.Andrò in pensione a 65 anni ,schifooo] = 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" [#hitchhiking #passaggio From Torino, Italia To Bologna, Italia 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" [Fiat, Marchionne: 2012 per l'auto ancora più difficile: Totale appoggio al governo Monti 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 odi i politici e i partiti? Ti prego, raccontami ancora di quando ne hai fondato uno.] = 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" [ AHAHAHAHHAHAHHAHAHAHAH il costume basso ma dai è capace di iperventilarci (?) anche vestito di lana fino al collo (?)] = 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 perche' sei il mio sorriso che non si spegne anche quando sono triste! T i a m o] = 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: ipotesi #Passera allo Sviluppo. Candidatura spontanea della Minetti.] = 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" [Open Bnl Italia, sorteggio a Piazza di Spagna http #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" [Su rai1 la partita dell'Italia non è criptata per gli utenti SKY: il primo vero effetto del governo monti?] = positive
Analyze the sentiment of the news headline enclosed in square brackets, determine if it is positive, neutral, or negative, and return the answer as the corresponding sentiment label "positive" or "neutral" or "negative" [False illusioni, sgradevoli realtà: http L'editoriale di Mario Monti sul fallimento di Berlusconi, oggi sul Corriere] = 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 #ministri nell'archivio di Radio Radicale: #Giampaolo #DiPaola #Ministro #Difesa 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" [1927: 1° posto, 9 vittorie su 9 e 27 punti. TUTTO TORNA.] = 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 almeno una cosa chiara ho: sono tutti incazzati con Franceschini, che ha bombardato il governo Monti a tradimento..] = 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" [: Professor Monti, permette due parole? 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 Camera dei Deputati ha dato il via libera al governo Monti: finalmente si volta pagina. 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" [ Visti video in rete, non mi sembra granché. sotto porta xó ha senso della posizione su rimpalli, come il cuchu un tempo] = negative
Analyze the sentiment of the news headline enclosed in square brackets, determine if it is positive, neutral, or negative, and return the answer as the corresponding sentiment label "positive" or "neutral" or "negative" [ #Grillo ha sempre detto quelle cose della TV ma esprime un opignone personale. Spero che quel candidato abbia una motivazione] = 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 io le sto cercando di convincere...male che vada ci andiamo insieme.lol] = positive
Analyze the sentiment of the news headline enclosed in square brackets, determine if it is positive, neutral, or negative, and return the answer as the corresponding sentiment label "positive" or "neutral" or "negative" [ io nn ti faccio nessuna predica,dico solo che sei un povero ipocrita che giudica gli altri e fa di peggio,Amen!!] = 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" [PPN Verso un nuovo governo a guida 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" [ come ti capisco! Io vorrei rivederlo e abbracciarlo fortissimo! Dirgli quanto gli voglio 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" [Governo Monti-Napolitano sa tanto di padre che toglie il giocattolo al pupo che sennò rischia di sfasciarlo...#elezioni #308] = 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" [ io direi di farlo da me cosi guardiamo per sto locala cald con tuo fra x l'irrigazione che devo ancora pagartelo] = 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" [Napolitano,classe politica,stampa sovvenzionata e non , tutti contro #Grillo : motivo in più per votare movimento 5 stelle !] = 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 ci sono solo studentelli idealisti a pensare che il Governo Monti sia un rischio sociale alto. Vogliamo parlarne? 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" [Lo spot della fiat 500? Si gira a Maiori - Corriere del Mezzogiorno: The spot of the fiat 500? He turns to Maiori.http] = neutral
Analyze the sentiment of the news headline enclosed in square brackets, determine if it is positive, neutral, or negative, and return the answer as the corresponding sentiment label "positive" or "neutral" or "negative" [http è un pezzo meraviglioso questo. Professor Monti permette due parole? #manovra] = 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" [Rubati i primi soldi agli Italiani dal governo #monti #ladri 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" [Beauty contest, il Pd chiede al governo Monti di cambiare le regole: Non si può regalare agli incum. 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" [ ti seguo! :)] = 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" [ Eh Prive! (?) anche tu con campoolo no, ti prego D:m] = 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 PD E IL GOVERNO MONTI. GOTOR A TUTTO CAMPO ALL'INCONTRO PROMOSSO DAL PD 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" [ ad #agendadigitale sarebbe un ottimo inizio per questo governo #Monti. Servono competenze e persone giovani!] = 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 : conte fa il possibilista e pragmatico sui moduli. e poi dobbiamo tenerci padoin sulla fascia contro il principio di re…] = 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 consigliere dell'UDC e tutto il PDL fanno il loro mestiere. La novità è l'appoggio del PD in sintonia col 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" [ ** oddio ❤️❤️❤️❤️ anche ioooooo❤️❤️❤️❤️❤️❤️] = 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" [Domani #Piazzapulita: SALVATORI DELLA PATRIA Il governo Monti stanga i ceti deboli Quando toccherà a quelli che non vengono mai toccati?#La7] = 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" [ .. senatore Monti si doti di una rampa di lancio, lei è distante anni luce dai problemi della \"povera\" gente !] = 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 laureati italiani danno piena fiducia a Mario Monti http via in #edicolafree #giovani #politica #attualità] = 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" [Dopo #Grillo ho imparato che non sempre dove c'è la merda si sente la puzza .. a volte è profumo di soldi!!! #poveraitalia ] = 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" [ ti pagano a fare cosa?] = neutral
Analyze the sentiment of the news headline enclosed in square brackets, determine if it is positive, neutral, or negative, and return the answer as the corresponding sentiment label "positive" or "neutral" or "negative" [ Anche tu odi Marta. Oh, ti amo, teiera rosa *-*] = 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 Grande Golpe Globale chi sono Mario Monti e Luca Papademos? 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" [se #Grillo sta parlando a Monza,vorrei sapere se c'è un live streaming in questo momento,RT please, grazie #piazzapulita] = 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" [Un caloroso bentornato a ! Stella presente e futura della nostra nazionale. Un augurio di pronta guarigione! #ForzaAzzurri] = 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 : -DARE PESO ALLE VOSTRE CRETINATE. MA NON CI FATE CASO? PERCHE' I VOSTRI IDOLI CI STANNO MALE MA TAYLOR NO? CHI PENSA A 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" [Le congratulazioni di Michele Iorio al neo premier Mario Monti http] = neutral
Analyze the sentiment of the news headline enclosed in square brackets, determine if it is positive, neutral, or negative, and return the answer as the corresponding sentiment label "positive" or "neutral" or "negative" [ si lo yogurt bianco chi lo vuole scusa hahahah poi se vede che la vaschetta accanto è vuota lo vuole ancora di meno] = positive
Analyze the sentiment of the news headline enclosed in square brackets, determine if it is positive, neutral, or negative, and return the answer as the corresponding sentiment label "positive" or "neutral" or "negative" [ non lo so, davvero non lo so. quei due mi odiano ;_____;] = 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" [in pratica c'ho messo il letto grande, e ho spostato tutto: armadio, scrivania, stereo. TUTTO éwè] = 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" [#ITALYLOVESBIEBER RT se anche tu pensi che la Devonne senza trucco sia ancora più bella.] = 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 falsari di banconote potrebbero rilanciare i consumi in 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" [ É vero. E pure l'aeronavale della Marina] = neutral
Analyze the sentiment of the news headline enclosed in square brackets, determine if it is positive, neutral, or negative, and return the answer as the corresponding sentiment label "positive" or "neutral" or "negative" [tutti pensano che #Grillo e' #l'antipolitica e non farà mai paura..anche la #Lega nacque così...intanto pero' facciamo #piazzapulita] = positive
Analyze the sentiment of the news headline enclosed in square brackets, determine if it is positive, neutral, or negative, and return the answer as the corresponding sentiment label "positive" or "neutral" or "negative" [non posso credere a quello che leggo #Grillo mov 5 stelle 3^ forza del paese, il populismo paga, ma governare un paese non è roba da cabaret] = negative
Analyze the sentiment of the news headline enclosed in square brackets, determine if it is positive, neutral, or negative, and return the answer as the corresponding sentiment label "positive" or "neutral" or "negative" [ ciao, benvenuta nel regno della Luna Rossa :)] = 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" [Kekkoo! sono Giorgia solo che con un altro cognome..quello del mio fidanzato [quello della foto..bello è] xD!] = positive