formatted_text
stringlengths 238
378
|
|---|
Analyze the sentiment of the news headline enclosed in square brackets, determine if it is positive, neutral, or negative, and return the answer as the corresponding sentiment label "positive" or "neutral" or "negative" [Oggi inizia il percorso per cambiare la scuola insieme a 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" [Tradate - La "buona scuola" a Varese: un'occasione sprecata | Scuola | Varese News: Tradate - C'erano solo di... 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" [Domani 30 ottobre #labuonascuola si incontra a Frosinone h 17 villa Comunale 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" [Infinite grazie al Ministro : #labuonascuola condivisa e riconosciuta! ] = 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" [Sulla scuola ancora tagli e supplenti a casa.se questa ebuona scuola siamo propio col culo x terra.] = negative |
Analyze the sentiment of the news headline enclosed in square brackets, determine if it is positive, neutral, or negative, and return the answer as the corresponding sentiment label "positive" or "neutral" or "negative" [Ho aperto un sondaggio su un gruppo fb con 5000 iscritti quasi tutti insegnanti: avete letto #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 150.000 insegnanti che #labuonascuola vuole assumere hanno tutto "il merito"e hanno superato più concorsi! #finoallultimoidoneo] = 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 hanno rispettato neanche i tempi di scadenza della partecipazione degli italiani al dibattito sulla 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" [Cosa aspetta il popolo delle famiglie a raccogliere la sfida de #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" [Da oggi inizia la #labuonascuola anche a Lentate partecipiamo per essere protagonisti e non spettatori.] = 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" [ competenti. L''usr è una tragedia. Qui non si parla ancora di #labuonascuola# di edilizia scolastica e ....] = 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 rete professionale parte da scuola università e social #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" [Buon primo giorno di scuola! È l'Italia che cresce. #labuonascuola si scrive insieme a insegnanti studenti famiglie] = 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 Renzi e Giannini e le proteste degli studenti ... #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" [. con #labuonascuola a Pordenone 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" [Buongiorno e "buona scuola" a tutti... finalmente è proprio il caso di dirlo!] = 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 bello no? Ah no? Non è la buona scuola? Ah no? E' solo la Legge di Stabilità. Il meglio deve ancora venire. 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" [http se ne parla anche domani ad #eSkillsRome #labuonascuola #eskills] = 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 ricomincia sperando che sia davvero l'anno de #labuonascuola! #scuola #primogiornodiscuola] = 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 ci fanno compilare anche le schede di istituto sui punti del rapporto. Fortuna che si tratta di consultazione libera] = 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 - Momento di ascolto e dibattito (IL PROGRAMMA) 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 una bella iniziativa di condivisione grazie alla Loescher che mi ha permesso di farlo (scaricafree) 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" [Crollano soffitti nei licei a Padova Roma e Napoli: tragedia sfiorata. Cercasi #labuonascuola (Leggi: 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 - PROPOSTA PER LA MOBILITA’ INTERNA (passaggio di cattedra) DEI DOCENTI GIA’ DI RUOLO 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" [Il cambiamento passa anche da qui! #labuonascuola cc ] = positive |
Analyze the sentiment of the news headline enclosed in square brackets, determine if it is positive, neutral, or negative, and return the answer as the corresponding sentiment label "positive" or "neutral" or "negative" [In piazza maggiore parlano gli studenti: questa è la buona scuola! #16O #iosciopero ] = 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" [MARTEDÌ 11 NOVEMBRE ORE 15 PALAZZO KURSAAL GIULIANOVA LIDO MARCELLO PACIFICO commenta "La buona scuola" partecipa... 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" [#idoneiconcorsone2012 Sinceri auguri ! A lei una 'buona giornata' a noi una '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" [ #labuonascuola mi fa impazzire sopratutto in merito alla Morale all'Umanità all'Eccellenza di certo Corpo Docente] = negative |
Analyze the sentiment of the news headline enclosed in square brackets, determine if it is positive, neutral, or negative, and return the answer as the corresponding sentiment label "positive" or "neutral" or "negative" [Oggi due riunioni: con e parliamo della campagna #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" [Caro Saviano come fai a non capire che proprio chi sa benissimo che fare (e cosa serve al paese) pensa a cambiare la scuola? #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" [Il sindacato degli studenti: “La buona scuola del Governo? Ecco invece la nostra” 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" [articolo 1 della #Lip legge di iniziativa popolare per una buona scuola per la Repubblica 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" [#idoneiconcorsone2012 http appoggiano e supportano #labuonascuola! #merito e proficua collaborazione questo offriamo !] = positive |
Analyze the sentiment of the news headline enclosed in square brackets, determine if it is positive, neutral, or negative, and return the answer as the corresponding sentiment label "positive" or "neutral" or "negative" [ in bocca al lupo per il concorso 2015 a 40000 posti. La vostra buona scuola non merita buoni docenti!] = 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" [ incontro 2 su #labuonascuola stasera ascoltiamo la voce degli studenti con 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 ora? Le chiedo cosa fare ancora?ci credo #labuonascuola ha bisogno di innovazione passione #ilcoraggiodicambiare nn deludeteci] = 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 passo dopo passo verso lo sfascio] = 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" [ è nella top-30 dei #piùtwittati nelle ultime 2 ore con hashtag #labuonascuola #vitadaprof #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" [Storia della #musica nelle scuole superiori? Sì grazie #scuola #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" [#labuonascuola Riuscire a far peggio della Moratti non è facile ma ci sta riuscendo Ministro ] = 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" [ CircoloPDMarconi-Roma chiede tua disponibilità iniziativa scuola #labuonascuola gennaio 2015] = 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 #labuonascuola fermenterà. Ne siamo certi. #idoneiconcorsone2012 #finoallultimoidoneo] = 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 un trentenne che si permette di dire a noi insegnanti da più di trenta anni come fare #labuonascuola. Pensiamoci] = 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" [Gallery I incontro su #labuonascuola e partecipazione del ai tavoli di discussione #Leopolda5 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 un'ottima riforma precari assunti diventano cittadini sereni che pensano solo al bene della 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" [ no..no no...va benissimo...no anche alla buona scuola...cagata pazzesca] = 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" [segna in agenda che l'8 novembre alle 15 ci vediamo per contribuire con le idee di #Prato a #labuonascuola #cambiapratoOra #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" [Puntare su educazione istruzione e formazione non è più rinviabile. #labuonascuola contiene progetto educativo che coinvolgerà tutti #teha] = 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" [Realismo e conservatorismo nella scuola pubblica #labuonascuola #lascuolacrepa 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 - Project... Azione! 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" [ avanti con 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" [Ancora nessun finanziamento dal MIUR per avvio corsi a.a.2014/15 #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 alla sala della Regione di Pordenone] = 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" [#sfplm85bis e le proposte per la buona scuola! Sì allo studiosì al concorso sì al sostegno! @] = 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" [ #vincitorisenzacattedra = capitale umano = anni rubati a chi attende il ruolo: quanto valiamo x #labuonascuola ? Spiegatevi!] = 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 #cambiamoverso 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" [Bene il sistema nazionale di valutazione de #labuonascuola. Andrebbe previsto anche per gli altri settori della PA . ] = 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 capisco come fanno persone che prendono migliaia di euro e non hanno insegnato a dire a chi insegna da 30 anni come fare #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" [Idee sulla riforma della #scuola: le proposte di un team di esperti su 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" [ la #labuonascuola è una vera boccata di ossigeno per scuola lavoro paese #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 proposte per l'education di Confindustria assomigliano al documento del governo sulla buona scuola. E' questo il nuovo asse riformatore ?] = negative |
Analyze the sentiment of the news headline enclosed in square brackets, determine if it is positive, neutral, or negative, and return the answer as the corresponding sentiment label "positive" or "neutral" or "negative" [Oggi era a #Catanzaro #labuonascuola è ancora in #tour 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" [La scuola non più luogo opaco ma casa di vetro per chi ci lavora e la frequenta con #labuonascuola . #opendata] = 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 fare un Paese migliore CI VUOLE UNA SCUOLA MIGLIORE! #ForzaPlinio #ilfuturosiamonoi #labuonascuolasiamonoi... 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 scuola é il luogo dell'esperienza di tutti #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" [ la buona scuola é un ottimo progetto per ottimi insegnanti] = 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 quale buona scuola? state distruggendo tutto!] = 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 Napoli si parla de #labuonascuola. La proposta della Consulta campana 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" [Oggi al via la scuola bell'inizio #passodopopasso in direzione di una #labuonascuola in bocca al lupo] = 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" [ programmi anacronistici strutture e locali non a norma insegnanti vecchi e stanchi questa non è una 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" [Seminario sulla legislazione scolastica sul tema 'La buona scuola. Facciamo crescere il… 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" [ ottima #labuonascuola. #idoneiconcorsone2012 si chiedono quale possa essere la tempistica 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 sono anche edifici che non crollano in testa agli studenti lavagne e banchi decenti #grazie] = 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" [On. è possibile consegnare a lei le migliaia di firme raccolte per la proposta Educazione Motoria nella buona scuola? 11 nov Roma] = 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" [ nel #labuonascuola si studia #informatica x sviluppare #pensierocomputazionale: cultura x 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" [Ue: in Italia dispersione scolastica record il 17% si ferma alle medie E il governo taglia ancora i fondi #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" [Democrazia Oggi - La buona scuola a Cagliari 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" [ sì intendevo che italiano medio dovrebbe criticare #labuonascuola dopo avere letto doc completonon 12 punti #cognizionedicausa] = 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" [ veronecess.agire anche al pres.E le risorse cont.ad ess.tagliatealdilàdella retor.su #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" [ <Connects individual donors with individual #classes and #Teachers #labuonascuola senza finanziamenti statali c'è la può 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" [ consultazione non è apparenzaè strumento inmano a cittadinoda usare dopo aver letto doc interonon i 12 punti #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" [#Firenze. Dopo il #10O nuove scuole occupate 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" [http #labuonascuola c'è e ha una proposta #Lip #legge popolare #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" [ Grazie per le sue analisi. Partecipi anche alla #consultazione #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" ["La buona scuola" il 'PSI scuola del Veneto': rischia di essere un'epica guerra tra poveri »... 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 Luigi Berlinguer al tavolo su #labuonascuola di #leopolda5 condotto da 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" [#idoneiconcorsone2012 @matteorenzi@Fusacchia Si inizia già a contestare questa riforma ma il buon senso e la 'buona scuola' vinceranno!] = 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" [Ventura: La buona scuola per il PSI scuola del Veneto rischia di essere un’epica guerra tra poveri 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 si fa con i membri esterni all'esame di Stato per garantire rigore contro i diplomifici] = 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 scuola è pronta a diventare #labuonascuola. Ci avete stupito grazie per questo grande progetto] = 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 è Vanity Fair che travisa o in ogni giornale la buona scuola si trasforma come un Barpapapa'?] = 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" [Bat24: Via al piano «La buona scuola»: a Trani lo sperimenta il secondo circolo didattico Petronelli 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" [ docenti abilitati e specializzati sono pronti a fare #labuonascuola inclusiva #SFPinRUOLO] = 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" [Diciamo NO alla #buonascuola di Renzi e Giannini: USI-AIT Calabria sulla “buona scuola” di Renzi. Il piano Ren... 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" [Criticate ma partecipate. L'essenza della #Leopolda5 la dice parlando de #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" [Gelmini&SB: "scuola è la nostra riforma" ! Esultanza x Renzi#riforma 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" [#labuonascuola una riforma distruttivanello spazio segnalazioni.del Piccolo odiernograzie. mb... 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" [http Appuntamento a Roma il 30 ottobre #eSkills #eSkillsRome #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" [A S.Severo e Foggia per verificare #scuolebelle. Ottimo lavoro per ridare decoro alla #scuola! #italiariparte #labuonascuola ] = positive |