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" [ ..e che la forza sia con Te! #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" [ tutti favorevoli alla riforma? a noi non ci risulta...] = 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" [Come fare in modo che gli studenti sperimentino l’entusiasmo della scoperta scientifica? #AmgenTeach 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" [Siamo a #palestrainnovazione con #labuonascuola per fare un pezzo di storia della scuola italiana] = positive |
Analyze the sentiment of the news headline enclosed in square brackets, determine if it is positive, neutral, or negative, and return the answer as the corresponding sentiment label "positive" or "neutral" or "negative" [io non credo nella buona scuola #labuonascuola sono solo parole #noemi] = negative |
Analyze the sentiment of the news headline enclosed in square brackets, determine if it is positive, neutral, or negative, and return the answer as the corresponding sentiment label "positive" or "neutral" or "negative" [Non abbiamo paura della pioggia. A Trieste dalle 12 alle 14 per #giochiamocela #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" [Capitale Europea della Cultura che combacia con la fine consultazioni de #labuonascuola: gran bel segnale :)] = 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" [Scuola l’Usd: la “buona scuola” del Ministro Giannini? Incontri senza confronto 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" [Sapri: la buona scuola per lo sviluppo locale: (Golfo di Policastro) 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" [Arianna Bettini del Forum provinciale dei genitori ha fatto un bell'intervento sui genitori come partner educativi #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 quale buona scuola con un ministro incompetente? #gianninidimettiti miur ha combinato pasticcio su #concorsonazionale] = 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" [ vero ma anche renzi e chi ha scritto #labuonascuola dovrebbe ascoltarli] = 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 tour #labuonascuola oggi fa tappa al 'Luosi' di #Mirandola ristrutturato dopo terremoto 2012 e pronto a riaprire 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" [Topi nelle scuole di Roma http sono buoni pure quelli? #labuonascuola #ibuonitopi] = 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 - Uno psicologo in ogni scuola per includere in maniera efficace 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" [a #Bomporto Inaugurazione scuola primaria Marco Polo. Un altro edificio restituito agli alunni e al personale scolastico #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" [Siamo alla frutta #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" [I circoli GD della Vallesina partecipano all'iniziativa nazionale per 'La buona scuola': ecco come 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 Genova! Oggi gli studenti hanno dimostrato di avere molto da dire su #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" [ Alla media Urbani di Roma 3 professori di matematica in meno di due mesi. È anche questa #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" ["Libertà educativa" è far sì che le famiglie possa scegliere la buona scuola PARITARIA o STATALE! #labuonascuola #paritaria] = 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" [Polomusealeadess:passaggio storico la scuola fondata sul lavoro riportare la cultura del lavoro nelle scuole #labuonascuola #scuolalavoro] = 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" [ #tfa2014 il silenzio degli innocenti figli di un dio minore dov e' la buona scuola? Solo parole] = 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 entriamo nella stanza 'Sblocca Scuola' http passando in rassegna le proposte dei partecipanti] = 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" [Liceo #Majorana #brindisi a lezione di #scuoladigitale #eccellenze della #scuola italiana #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 è quella che fa errori nei Concorsi Nazionali? volete farci emigrare tutti #ssm2014 #gianninidimettiti] = negative |
Analyze the sentiment of the news headline enclosed in square brackets, determine if it is positive, neutral, or negative, and return the answer as the corresponding sentiment label "positive" or "neutral" or "negative" [se anche a voi interessa la discussione su #labuonascuola non perdete #fahrenheit dalle 15 su 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" [@SteGiannini@matteorenzi#labuonascuola: bene aver incluso parti sociali EU in discussioni su economic case for education] = 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 partecipiamo per nulla alla consultazione 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" [ La Buona Scuola - CATTEDRA MISTA PER UN'EFFICACE INCLUSIVE EDUCATION 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" [Per dirigente scolastico #Castenaso Gallingani #labuonascuola è una proposta importante perché il futuro dell' Italia passa dagli 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" ["L'italia riparte dalla buona scuola" Prrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrr....!!!"] = 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 - Un progetto per la distribuzione di contenuti Internet in assenza di Internet 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" [ la grande tecnologia dell'impresa italiana non è una sorpresa! #labuonascuola per integrare scuola 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" [ questa è la buona scuola? Concorso con cellulari e tastiere?? Vergogna 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" [LBS c'è anche la proposta della separazione degli insegnamenti di elettronica ed elettrotecnica! Votate! 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" [Sulla carta #labuonascuola sembra un bel progetto. Quando il governo lavora bene va riconosciuto.] = 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" [#stegiannini puoi occuparti anche delle prove scritte TFA Lombardia bloccate da giorni?I prof contano meno dei medici #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" [LBS votate anche la proposta relativa alla PSICO-AFFETTIVITA' 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" [finalmente anche i sindacati entrano nella consultazione del Miur #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" [Al Policlinico di Roma #labuonascuola #jobsact Non apprezzano #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" [La “buona scuola” e la formazione degli insegnanti 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 Matteo lasciali sbraitare i novecenteschi Landini-Camusso compresi i sindacalisti dentro il PD Forza con #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 dell'imbecille Giannini e del #bullodiprovincia 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" [Sulla buona scuola votate la proposta relativa al MERITO 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" [fund raising: oltre 120000 euro reperiti in 2 anni di cui quasi 70000 direttamente a #ic15bologna anche questo 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" [ #labuonascuola é solo un mprovvisazione di chi non ha mai lavorato nella scuola. Pensateci bene] = 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 - Progetti in erba: il linguaggio progettuale 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" ["22 novembre Liceo Donatello" con #labuonascuola sei proprio a Milano il 22... Che fortuna ;)] = 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 io faccio campagna perché nessun docente della mia scuola compili il questionario. É comunque una battaglia facile] = 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 discutere di scuola con e per #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" [Benvenuto anche a . #labuonascuola ha bisogno di tutti. A presto al ] = 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 lunghi tempi di approvazione post e soprattutto commenti della consultazione mostrano che per #labuonascuola servono più fatti che parole.] = 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" [Ieri e oggi siamo stati a Roma all'assemblea nazionale FDS-RUN. La buona scuola? #giochiamocela 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" [Complimenti per la grande campagna di ascolto in atto in tutta #Italia per #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" [#JOBSAct #labuonascuola questo governo per il lavoro e la scuola preferisce parlare ai padroni che ai lavoratori. Bello vincere facile] = 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 - Riconoscimento e sostegno delle community “scolastiche”. 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" [Lo condivido con le insegnanti ... In tempi di "buona scuola " Buon lavoro 😊 http] = positive |
Analyze the sentiment of the news headline enclosed in square brackets, determine if it is positive, neutral, or negative, and return the answer as the corresponding sentiment label "positive" or "neutral" or "negative" [ ma dove sono le risorse visto che la buona scuola taglia ancora fondi....] = 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 - Laboratori palestre d’innovazione 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" [La Sicilia prima tra le regioni per numero di dibattiti su #labuonascuola orgogliosa del lavoro fatto da 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" [Collegio strardinario.Punto su 'La buona scuola'.Documento contro.Una collega si gira e mi dice: ho 60 anni ci vogliono parole più forti.] = 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 - eCLIL per studenti cittadini digitali 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" [ Tutti gli #idoneiconcorsone2012 vi ringraziano per la vostra disponibilità al dialogo #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" [Se la noia fosse un fossile la scuola sarebbe un museo #biondi #indire #giochiamocela #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 sarò. La mia proposta per la Buona Scuola è questo: 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 riunione sulla buona scuola tutto per il suo supporto presidente! 💪] = 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" [Contro la farsa de "la buona scuola" #lascuolaèdichilavive! 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" [Tra 36 ore darà il via alla prima grande rete nazionale delle #palestrainnovazione #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" [C'è un appuntamento importante con #labuonascuola anche a Rieti. Parteciperemo con 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" [#labuonascuola alternanza scuola - lavoro : 6ML di euro per 1778 istituti tecnici 3374 euro SCUOLA ! Premier e Ministro ridicoli !] = 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" [Dopo il lavoro nei 6 tavoli tematici ci avviamo verso la conclusione #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" [Una nuova alba idonei 2012 in campo si' alla buona scuola@matteorenzi #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" [Il paradosso del sorite e la consultazione su #labuonascuola #cattivascuola 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" [#cambiapratoOra #scuola #labuonascuola #prato #igersprato 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" [.: perché la #scuola digitale può essere la vera rivoluzione http #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??? Sembra il nome di una commedia!!!! 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" [Oggi tutti a parlare de #labuonascuola: a Mirandolaio a Scandicci@megmalp a Pioltello@marcocampione a Cassano...] = 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 #labuonascuola propongo 1h di #teatro a settimana obbligatoria e a tutti i livelli. Una vera #rivoluzione! 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" [#TFA2014 #riallinementotfacineca #sbloccotfasubito ci state prendendo in giro dov e' 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" [Si parlerà di “buona scuola” nel pomeriggio al Gargallo con la vicepresidente commissione Cultura della Camera ... 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. Voce del verbo fare sul serio. Tempo: futuro prossimo. 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 #SSM adesso ci date le borse aggiuntive!!è a dir poco vergognoso quanto accaduto@SteGiannini ti devi dimettere!] = 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 con l'on per discutere di scuola... Per discutere del futuro del nostro paese! #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" [ chiama risponde! Costruiamo insieme la nostra 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" [Sai dove te la puoi ficcare la buona scuola? Vienici a trovare a scuola. Vivi anni da precario d 3fascia che vuoi cancellare.] = 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" [. "Stiamo sfiorando 1mln contatti su http con #consultazione paese tornato a parlare di scuola" #Mirandola] = 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" [#Leopolda5 bel tavolo su #labuonascuola purché veramente sia soltanto l'inizio. La scuola torni a essere punto di riferimento] = 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 SENZA SPENDERE UN CENTESIMO! Blocco contratto fino 2018 ma scuola giro di boa e il futuro non è roseo 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" [#PRATO #CambiapratoOra la campagna del Pd. Anche Prato si confronta su #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 nostra scuola. Una 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" [Con #labuonascuola saremo tutti più buoni. Peccato alcuni docenti volevano solo essere più "boni". Sarà per un'altra strariforma.] = 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 e' punto riferimento sociale e motore sviluppo" ne parla con studenti del 'Luosi' di #Mirandola #tour #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" [“ci hanno criticato moltissimo per la lingua con cui è scritta #labuonascuola” - avete lavorato molto molto bene invece :)] = 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 #labuonascuola finalmente il progetto della scuola-azienda diventa realtà. I primi finanziamenti per una statua alla Gelmini.] = 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 oggi è alla sapienza assemblea nazionale ] = 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 la nostra scuola. #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" [#labuonascuola allego cv di luccisano http Qualcuno trova la parola scuola? Grazie per la collaborazione] = 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’ di Aer diversa da quella di Renzi: Si è tenuto nel pomeriggio di giovedì all'Art Cafè di Cen... 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' alla buona scuola: al ruolo si accede per concorso pubblico!@matteorenzi #idoneiconcorsone2012] = positive |