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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" [Il liceo Socrate di Roma esprime con forza la propria contrarietà al documento #labuonascuola] = 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 Buona Scuola - LICEO GINNASIO STATALE "F. PETRARCA" http #labuonascuola] = 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" [Ora a Cagliari tour #labuonascuola una grandissima partecipazione di tutti i soggetti dell'#istruzione 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" [Dolcetto scherzetto? #Halloween #labuonascuola #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" [Visionari la “buona scuola” nelle relazioni di cinque esperti http #fb] = neutral |
Analyze the sentiment of the news headline enclosed in square brackets, determine if it is positive, neutral, or negative, and return the answer as the corresponding sentiment label "positive" or "neutral" or "negative" [Il è fiero di promuovere la campagna per dare ai nostri ragazzi un degno futuro educativo. #labuonascuola http] = positive |
Analyze the sentiment of the news headline enclosed in square brackets, determine if it is positive, neutral, or negative, and return the answer as the corresponding sentiment label "positive" or "neutral" or "negative" [ i+vivi complimenti a1paese incapace di portare avanti1concorsoXaspiranti docenti!La buona scuola?Lo schifo di scuola!!#tfa2014] = negative |
Analyze the sentiment of the news headline enclosed in square brackets, determine if it is positive, neutral, or negative, and return the answer as the corresponding sentiment label "positive" or "neutral" or "negative" [ per fare una buona scuola servono buone teste] = neutral |
Analyze the sentiment of the news headline enclosed in square brackets, determine if it is positive, neutral, or negative, and return the answer as the corresponding sentiment label "positive" or "neutral" or "negative" [ l'intervento degli studenti ci interessa moltissimo #labuonascuola a Milano] = 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 essere del tutto irrazionale invece è la logica di bilancio scolastico dello Stato. #labuonascuola(?)] = 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" [Delibera del Collegio dei Docenti del Liceo L. Pasteur di Roma su la “buona scuola”... 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" [ parteciperemo con entusiasmo #labuonascuola passa da tutto il paese] = 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" [ (): #labuonascuola? Praticamente è il nulla! #sapevatelo #SenzaFiltri #Radicali #scuola #Renzi] = 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" [AetnaNet - Su La buona scuola - I docenti dell'IISS 'Carlo Gemmellaro' di Catania 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" [ al convegno. Noi speriamo che anche la Lombardia diventi sempre piu'#labuonascuola] = positive |
Analyze the sentiment of the news headline enclosed in square brackets, determine if it is positive, neutral, or negative, and return the answer as the corresponding sentiment label "positive" or "neutral" or "negative" [ per #labuonascuola bisogna averne una. A L'Aquila 6000 bambini sono ancora nei MUSP #matteofaiscuola] = 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" [Idee progetti e proposte per #labuonascuola a Prato con sabato 8 h15 http http] = neutral |
Analyze the sentiment of the news headline enclosed in square brackets, determine if it is positive, neutral, or negative, and return the answer as the corresponding sentiment label "positive" or "neutral" or "negative" [Cambiamo la scuola e rispondiamo all'appello della #labuonascuola del #rnext14] = 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" [ parlate solo di buona scuola ormai...e per gli scandali al concorso di spec. Med.?] = 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 'buona scuola' si chiuderà a Matera - Il 15 novembre: l'annuncio del Ministro Stefania Giannini 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" [Noi siamo per #labuonascuola ministro e la sosteniamo con forza idee ed entusiasmo. #idoneiconcorsone2012 #pantarei] = 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 valutazione dei docenti nella buona scuola e' vergognosa] = 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" [Metti un "like" per la #scuola paritaria #iniziativa http #labuonascuola] = 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 sono mai stato a Rieti . Me ne parlano bene. Sarà bello venirci per #labuonascuola. #idoneiconcorsone2012 #pantarei] = 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" [ luccisano è un tuttologi. Si è interessato di tutto tranne che di scuola dimmi tu cosa può sapere di problemi de #labuonascuola] = negative |
Analyze the sentiment of the news headline enclosed in square brackets, determine if it is positive, neutral, or negative, and return the answer as the corresponding sentiment label "positive" or "neutral" or "negative" [Per parlare de #labuonascuola tutti invitati a Corridonia (MC) stasera alle 21 al Cine-teatro Lanzi 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 partecipare al cambiamento della scuola dei nostri figli guarda il su http . Non ci lamentiamo e partecipiamo.] = 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 prossima volta caricherete gli studenti che rivendicano una "buona scuola"? Per il bene dell'Italia andate a casa! vergogna] = 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 buona scuola della Gilda 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" [Caratteristica centrale de #labuonascuola è quella di *ascoltare* i bisogni di chi lavora nella scuola (Vicesindaco di Como) ] = 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 voglia di conoscenza di mia figlia di 9 anni sta venendo erosa giornalmente dalla scuola che per ora non è affatto #labuonascuola.] = 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" ["Serve una scuola che non chiuda alle 14.30 e che formi al lavoro" #visionaridellascuola #labuonascuola #Potenza] = 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" [Eccellente opportunità di confronto grazie a #labuonascuola e Capo Dipartimento Chiappetta per Dirigenti e docenti di VareseComo ] = 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" [Figlio di prima media ancora senza insegnanti di matematica e altre 3 materie #matteorenzi #labuonascuola dove? Emilia] = 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 buona scuola la fanno gli insegnanti | MammaMoglieDonna 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" [ #labuonascuola è #favolosa grazie a questo!!!] = 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" [Alla "Buona scuola" noi rispondiamo con la "Vera scuola"! #noallabuonascuola #laverascuola #sfplm85bis #] = negative |
Analyze the sentiment of the news headline enclosed in square brackets, determine if it is positive, neutral, or negative, and return the answer as the corresponding sentiment label "positive" or "neutral" or "negative" [Su La buona scuola - I docenti dell'IISS 'Carlo Gemmellaro' di Catania 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" [Changing Italy.Transformation+service design for La Buona Scuola - Laboratori palestre d’innovazione http #labuonascuola] = 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" [ chieda a #Renzi perchè docenti abilitati PRECARI storici della suola sono esclusi da #labuonascuola. #ottoemezzo #MIDAperRUOLO] = 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" [1.800 proposte per 'La buona scuola' 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" [150 dibattiti per #labuonascuola 27 solo in Sicilia perché per raggiungere tutti nn basta essere online 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" [Quando la scuola è buona e non è #labuonascuola 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" [Anche contribuisce al dibattito con l'aiuto di e Domenico Bongiovanni. #labuonascuola 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" [#labuonascuola allo Yif Luccisano "Potevamo intraprendere la strada del decreto invece ci confrontiamo con tutti" #Yif2014] = 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 cosa servono consultazioni pubbliche stanti questi presupposti? L'ipocrisia della "partecipazione". #labuonascuola 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" [ parleremo di "buona scuola" solo quando le consultazioni saranno libere. 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" [Venerdì sera sarò relatore all'iniziativa su riforma scuola del Pd Reggello. Partiremo da qui #labuonascuola 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" [ questo significa nuove tasse per studenti e famiglie # la buona scuola#Matteo@stai sereno# Matteo la mette li si proprio li] = 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" [Lunedì 10 alle 21al circolo parleremo di #labuonascuola con e grazie a per l'invito] = 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" [#labuonascuola #pavia governance autonomia scuole aperte. Poter ridiscutere tutto con genitori e studenti anche didattica] = 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" [Nel documento #labuonascuola la parola #biblioteca non c'è roba vecchia che non serve più? #scuola #lettura] = 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 Giovani Democratici lanciano l'iniziativa “La buona scuola” - gonews 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" [ eppure c'è chi vorrebbe costruire un muro più insormontabile..ma noi lasciamo correre..w la buona scuola #idoneiconcorsone2012] = 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" [1 solo ateneo italiano tra i migliori 200 al mondo. Per il paese della #cultura non è possibile. #labuonascuola 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" [Una consultazione oggi per una scuola migliore domani io ho risposto: http #labuonascuola] = 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" [ #labuonascuola ora è anche giusta! Finalmente riconoscimento del merito dei #vincitorisenzacattedra e priorità nelle assunzioni!] = 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" [Senza sostegno scuola negata per i disabili. L'altra faccia dell'istruzione italiana. http #labuonascuola?] = 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" [Votate la proposta di Educazione psico-affettiva da introdurre nelle scuole sul portale de La Buona Scuola: http grazie] = 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" [Caro ha ragione! Evidentemente i sindacati sanno fare solo quello... Noi siamo per #labuonascuola! #idoneiconcorsone2012] = positive |
Analyze the sentiment of the news headline enclosed in square brackets, determine if it is positive, neutral, or negative, and return the answer as the corresponding sentiment label "positive" or "neutral" or "negative" [Le grida manzoniane della buona scuola 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" [Ora gruppo PD VII commissione con per discutere dei nostri emendamenti alla legge di stabilità #labuonascuola #opencamera] = 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" [#idoneiconcorsone2012 @SteGiannini@Fusacchia@matteorenzi La protesta nn ci spaventa! Risolleviamo una nazione con La buona scuola!] = 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" [ parlate di buona scuola quando le darete soldi e indipendenza dal clero.] = 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 buona scuola digitale con la fondazione mondo digitale presenta la propria attività . 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" [Grazie e x l'accoglienza. Grazie anche a x le domande cattivelle :) Avanti verso #labuonascuola] = 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" [ #labuonascuola non è 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" [#labuonascuola: 1.908 proposte nelle stanze http 1.155 dibattiti http Aiutaci a riscrivere la 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" [Segreteria dei su proposte di legge riforma scuola e lavoro. Ci siamo!! #diarionazionale 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" [#annuncite Varata #labuonascuola.gov per il 2015 si tagliano 148milioni alla scuola pubblica e se ne danno 200 alla privata] = 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 La Buona Scuola http #labuonascuola #merito #carriera #precari Partecipa al sondaggio online di ] = 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" [Sarà bellissimo ascoltare la voce di tutti. Campagna di ascolto #labuonascuola nessuno si senta escluso 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" [Care persone ignoranti se non vi interessa la buona scuola di Renzi e gli aspetti negativi andate a fanculo voi e la vostra vita nel futuro] = 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 Finlandia esiste discriminazione punitiva: se una scuola rimane indietro si insiste e si finanzia di più" #labuonascuola #invalsi] = 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" [#labuonascuola si fa con più apprendistato anche a scuola. A #giornataEducation presentato modello Enel. 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" [Dopo tutti i twitt su #labuonascuola almeno un segnale di fumo a noi medici prossimi al #concorsonazionale lo poteva mandare !!] = 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 Finlandia non fanno più valutazione esterna perché in 50 anni è diventata una prassi per tutti" Poliandri #invalsi #labuonascuola] = 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 Giovani Democratici in campo per la "buona scuola" 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" [Grazie a #labuonascuola meno 148milioni di euro nel 2015 421 entro il 2017 all'istruzione. Stiamo cambiando verso Matteo (in peggio).] = 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 proposito de La buona scuola http http] = neutral |
Analyze the sentiment of the news headline enclosed in square brackets, determine if it is positive, neutral, or negative, and return the answer as the corresponding sentiment label "positive" or "neutral" or "negative" [Bolzano #labuonascuola è prima di tutto ascoltare... 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" [ titolo di sostegno a gente che dopo anni fa il corsetto per entrare in ruolo! #labuonascuola] = 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 scuola buona http #labuonascuola ] = 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" [#LavagnaPd x #labuonascuola 'Finalmente il governo in modo trasparente ha inserito la scuola al centro della propria azione'] = 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" [#labuonascuola@SteGiannini abilitazione ai diplomati..e noi che abbiamo laurea e titoli? Ora anche il sostegno?] = 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 buona scuola ...che 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" [Incontro a #Aquila per #labuonascuola. Ha partecipato #uscr con #scuoleabruzzo.Complimenti per quanto si sta facendo ] = 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" [Mi arrendo #labuonascuola è la miglior scuola possibile Renzi il miglior presidente di consiglio possibile ] = 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 ‘buona scuola’ secondo L’altra Emilia Romagna - http http] = neutral |
Analyze the sentiment of the news headline enclosed in square brackets, determine if it is positive, neutral, or negative, and return the answer as the corresponding sentiment label "positive" or "neutral" or "negative" [ il fronte della conservazione è agguerrito ma anche noi lo siamo. #idoneiconcorsone2012 sono per #labuonascuola. Ora o mai 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" [ l'aiuto si chiede prima di pubblicare un documento che sconosce #scuola #labuonascuola siamo noi che ci lavoriamo] = 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" [Alla camera alla riunione dei gruppi pd camera e senato con #stabilità #labuonascuola ] = 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" [ vi aspetto allora! Per fare #labuonascuola] = 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" [#labuonascuola violinista docente precario non può partecipare ad un Festival in Svezia perché la scuola non concede permessi] = 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 Compilate a prescindere dal colore politico.. Abbiamo bisogno del parere di 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" [ ci spero anche io :-) #labuonascuola] = 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" [ Alla faccia de #labuonascuola...questa scuola qui fa accapponare la pelle!!! -_-] = 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 la ns agenzia il 6/11 tra i giurati per i progetti di #Gioventuitaliana #erasmusplus #labuonascuola] = 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" [ senatore non le ho ancora chiesto un'opinione su #labuonascuola. A me sembra finalmente un tentativo serio di riforma.] = 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" [Quanto perderanno i docenti beffati da Renzi #esamedistato #labuonascuola #cattivascuola http] = negative |