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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" [Domani sera ore 21.05 vi aspettiamo alla sala civica di via dell'Eremo a Lecco. Noi #cisiamo! tu? #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 #LAquila #USRC accessibilità finanziamenti scuola sicura] = 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" [Che differenza c'è tra la proposta della Brambilla di assumere i precari nel turismo e #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" [Ci sono ancora 11 giorni per partecipare #consultazione #labuonascuola 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" [#labuonascuola la Scuola é buona se é sicura! Vorremmo che fosse il leit motiv della ri-costruzione della Scuola Italiana 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" [A Palermo cariche contro minorenni che hanno osato contestare il ministro giannini presente. La buona scuola? http #M5S] = 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" [ecco come #labuonascuola premia le docenti! 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" [Grande partecipazione #labuona 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" [ con tutto il rispettola buona scuola di sti caxxi! Tra 5 gg ho un concorso e ancora non so dove e a che ora! #andatealavorare] = 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" [#HighSchoolRadio è sul sito de #LaBuonaScuola! Ecco il link: http E' possibile votare entro il 15 novembre: forza!] = 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'occasione l'avrai tu e tutti gli altri studenti che vorranno perché non saranno comizi ma incontri #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" [La Riforma della scuola Renzi Giannini non è quello che ci vuole per la scuola #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" [La buona scuola. A #Lecce le proposte dell'#AIMC #leccenews24 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" [ ecco la scuola che verrà #gentechevuolecambiare per fare #labuonascuola ci vuole coraggio] = 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: tutti che si affannano a dire la loro che poi sarà "sintetizzata" dai Dirigenti!! Apposto!!! Astenetevi! ] = 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: siete d'accordo con le proposte più popolari? #buonascuola #labuonascuola - 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" [. #labuonascuola con il gusto della vera cultura nutre l'intelletto e fa crescere!] = 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" [Una consultazione di “regime” per organizzare il plebiscito a sostegno della “buona scuola” di Renzi http #lacattivascuola] = 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" [Formazione e ascolto al centro della "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" [Sarà la più straordinaria riforma dal basso mai fatta in Italia. #enews 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 si parla di "buona 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" [La Buona Scuola - "La buona Educazione Motoria nella scuola primaria" 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" [beh partecipare può far solo bene... http http] = positive |
Analyze the sentiment of the news headline enclosed in square brackets, determine if it is positive, neutral, or negative, and return the answer as the corresponding sentiment label "positive" or "neutral" or "negative" ["Il colpo di grazia alla #scuola" http Editoriale sull'infornata dei 140mila #precari (#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" [http "La buona scuola" anche a Menfi] = 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" [ partecipa tu c'è posto per tutti ne #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" [ ma adesso arriva la buona scuola...e siamo tutti felici :-) ] = 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" [Mercoledì 12/11 al Circolo Carminelli parliamo di #scuola digitale e di #cyberbullismo #labuonascuola #milano 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 il paese parla di scuola #pazzadigioia] = 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" [Ecco dove si possono argomentare dissenso e critiche alla "buona scuola" di Renzi: 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" [#labuonascuola è anche l'università! ] = 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 sono tante possibilità che ancora non abbiamo scoperto è ora di farlo. #labuonascuola #digitale #ora] = 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" [Licenziamento docenti abrogazione dell #articolo18 il governo tiene molto alla piena occupazione in italia #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 - PAROLA D'ORDINE: LIBERARE RISORSE PER LA RIPRESA | ITP - L'Orizzonte della 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" [ con iniziamo a farlo. Anche questa è #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" [#labuonascuolaunpaiodipalle# tolta la merenda ai bambini della materna topi nelle scuole disabili senza sostegno niente bis se hai fame] = 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" [Sto rispondendo al questionario su La Buona Scuola: 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" [ grazie per aver ricordato "A scuola si cresce sicuri" formate 1.800 persone #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" [La buona scuola di Matteo? Una camurria! 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" [MCE sul progetto "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" [La buona scuola esiste già e può crescere solo con l'impegno 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" [ le risorse della scuola pubblica alle private... Questa è la buona 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" [Sacro Cuore Napoli - Consultazione sulla 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" [ avanti con #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" [Ok alla riforma della maturità un miliardo per la buona scuola: http per #labuonascuola? Nulla di buono purtroppo] = 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 facciamola insieme 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" [ sempre in prima linea x la buona scuola??!!!!! #idoneiconcorsone2012 in prima linea con lei.. AVANTI TUTTA] = 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 fa 1 miliardo se taglio 650 milioni?fa #labuonascuola che basterebbe fare #lascuolapubblica senza altri aggettivi? #lacattivascuola] = 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 di Renzi /3. #Autonomia valutazione e programmi- di Mauro Piras http #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 noi docenti di III fascia il sangue che fa vivere la scuola#MIDAperRuolo#PAS2015] = 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" [ risorse che eviteranno all'Italia la pesante multa della corte europea. Ministro #labuonascuola è fatta di dettagli che ignora] = 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 miglioriamo la scuola: una collaborazione degli storici della lingua a "La buona scuola" di Renzi] = 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" [ Possiamo fare entrambe le cose: educare genitori e figli investendo nella scuola. Una buona scuola è un'ottima medicina.] = 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 buona scuola la fanno gli insegnanti.La "buona scuola" e' solo una truffa. Esempio sui #Quota96Scuola] = 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 - Formazione dei docenti 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" [Punto e a capo con #Renzi #labuonascuola #lavoltabuona 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" [ così colleziona solo brutte figure. In platea tutti delusi altro che #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" [ #labuonascuola Manifestazione a commento della nuova #legge sulla #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" [ siamo tutti concordi! dalle parole ai fatti x poter competere in Europa nel #labuonascuola lo studio delle lingue fondamentale] = 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 DEF 1 mil. di taglialtro che buona scuola!Precari ass. solo x evit.proc.di infraz.] = 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" [Venite a Roma il 10 novembre alla #palestrainnovazione di con per #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" [ del MIUR #labuonascuola un paese che riscopre la propria vocazione e l'accordo tra scuola e lavoro #CometaSI] = 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" [ tolti commissari tolti ata tolta la 3 tolte le supplenze brevi..buona scuola? W l Itaglia] = 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" [Mimesis Scenari / Damiano Cantone : Cosa c'è di buono nella buona scuola . Leggi 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" [ e grazie anche a studenti docenti e a chi ha lavorato perché diventasse realtà #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" [Cariche della polizia contro gli studenti minorenni del regina margherita.. Questa e la buona scuola che ha in mente il governo #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" [La buona scuola. News. Istituto Barbarigo 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" [Solo l'inizio. Perché #labuonascuola funziona se c'è la disponibilità di tutti a partecipare e contribuire al piano 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" [ peccato che ai vari incontri della vs buona scuola le domande le dobbiamo concordare con voi prima di farvele. 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" [Maggiore ascolto degli studenti e porre alla base della buona scuola l’aspetto dell’orientamento formativo in... http] = neutral |
Analyze the sentiment of the news headline enclosed in square brackets, determine if it is positive, neutral, or negative, and return the answer as the corresponding sentiment label "positive" or "neutral" or "negative" [Gli #idoneiconcorsone2012 credono nella #scuola soprattutto ne #labuonascuola . Buon lavoro :)] = 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 importa. Il punto è che tutto è già deciso. E molti abboccano a #labuonascuola #cattivascuola] = 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’ 88mila partecipanti alla consultazione online 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 studia cineserussocodingteatromusicacittadinanza #labuonascuola passa da grazie ai docenti!] = 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" [ Sí rispetto agli #esamidistato dobbiamo a lui lo stop a tutti interni e tutti 100. #labuonascuola #cattivascuola] = 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" [ Dove investire nella formazione del paese: La “buona scuola” del Governo Renzi... http #economia #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" [I migliori auguri a per la delega alla Scuola nella nuova segreteria del PD gli #idoneiconcorsone2012 appoggiano #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" [ propagandando la vs buona scuola vi tirate la zappa sui piedinon serve pubblicità ma fatti concreti e soluzioni intelligenti] = 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" [Ministro Giannini al liceo Galilei di #Verona per Libriamoci e '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" [#Avvenire dedica un grande spazio (buono) al lavoro delle associazioni studentesche #Studenti attenti! 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" [ e neppure semplificabile in dépliant come la buona 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" [La buona scuola - Ecco cosa sta emergendo dal sondaggio http] = neutral |
Analyze the sentiment of the news headline enclosed in square brackets, determine if it is positive, neutral, or negative, and return the answer as the corresponding sentiment label "positive" or "neutral" or "negative" [ I docenti precari delle Gae apprezzano 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" [ #Quota96Scuola dov'è la buona scuola? Nei tagli indiscriminati? Nel blocco degli stipendi? Negli impegni non mantenuti?] = 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:« Ufficio VIII ambito territoriale per la provincia di Brindisi 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" [ banchi di prova per #labuonascuola noi ci siamo per costruire insieme la scuola del futuro] = 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" [ sono inca..atissima per l' indifferenza della scuola"sul campo"degli "arruolati" per #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" [intervista su radio crc ad Angelo Palumbo su "la buona scuola" e sull'associazione "Panta rei" 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" [ non solo per docenti! Tutti sono invitati a costruire #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" [Con una mano si da e con l'altra si leva e la buona scuola va avanti come può. Se si vuole risparmiare bisogna decentrare ma ancora niente] = 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" [#prato #8novembre#cambiapratoora#scuola idee progetti e proposte #labuonascuola iscriviti su 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 ministro #Giannini augura buon primo giorno di scuola con un tweet: “Vi vedo spegnete quei cazzo di telefoni”. #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" [ lavorare anche a 63-64-65-66 anni #labuonascuola con le badanti per i #Quota96Scuola?????] = 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 Trapani adesso. Costruiamo insieme la scuola di domani. 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" [Ragionare su #scuola è già #labuonascuola #lascuolachevorrei] = 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" [ Crediti formativi a chi collabora alla festa del Pd. Anche questo è #labuonascuola ? NO COMMENT!!] = 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 #labuonascuola domani 30 ottobre a Milano Zona 7 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" [ grazie prof! #labuonascuola siamo noi. Tutti noi. ] = 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" [http #labuonascuola #demagogia #megliolaLip!] = 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" [Amici del sapreste forse aiutarmi a trovare maggiori informazioni a proposito dell'incontro de #labuonascuola a #Trieste?Grazie] = neutral |