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" [Buongiorno a tutti / e... 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 adesso...si ride!!! Forza cuore impavido colpisci!!!!] = 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" [Simpatica mia mamma che mi ha messo la sveglia alle 10 perchè devo fare i compiti.] = 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" [ che vuoi fare oggi?] = neutral |
Analyze the sentiment of the news headline enclosed in square brackets, determine if it is positive, neutral, or negative, and return the answer as the corresponding sentiment label "positive" or "neutral" or "negative" [Un gustoso secondo piatto 100% veg! Leggi la ricetta e preparalo anche tu http #vegan #ricette #tofu] = 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" [ noi italiane ci stiamo facendo il culo per aver date in Italia nel 2015 ma 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" [Queen al cinema con il leggendario concerto Montreal 1981: L’attesa è quasi finita per tutti i fan dei Queen ... 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 anche a te] = positive |
Analyze the sentiment of the news headline enclosed in square brackets, determine if it is positive, neutral, or negative, and return the answer as the corresponding sentiment label "positive" or "neutral" or "negative" [ 1.000.000 di accessi al sito della buona scuola non significa 1.000.000 di consensi!!!] = 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" [\"Arco di Costantino: cronaca di una morte annunciata\" http #blog #cultura #roma #hobby date un'occhiata se volete] = 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 non è detto che non ci si riunisca nella vita non si può mai dire\" <3 #sacre 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 scuola deve insegnare a "pensare". La scuola la "buona scuola" deve insegnare il sapere critico. Capito futuri schiavi?] = negative |
Analyze the sentiment of the news headline enclosed in square brackets, determine if it is positive, neutral, or negative, and return the answer as the corresponding sentiment label "positive" or "neutral" or "negative" [ alla 16:00 tu?] = 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" [Niente mi commuove maggiormente dell'essere capito. Lo preferisco immensamente all'essere immaginato anche sotto la forma più seducente P.V] = 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 gufi i gelati la buona scuola...ma all'anema e chi ta mmuort] = negative |
Analyze the sentiment of the news headline enclosed in square brackets, determine if it is positive, neutral, or negative, and return the answer as the corresponding sentiment label "positive" or "neutral" or "negative" [Il 27 febbraio gli tornano con il nuovo album ” #THEAPOCALYPSEDJ”. Live a Milano il 7 marzo 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" [16. Il modo in cui mi ha fatta innamorare di lui non l'ho mai incontrato eppure lo amo dio solo sa quanto.#21ReasonsWhyWeLoveHarry] = 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" [ inoltre conosci luccisano? Se si chiedigli quanti giorni ha insegnato in una scuola prima di scrivere #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" [Ossigeno bloccato al San Camillo sospetti del direttore sulle tensioni tra il personale 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" [ Grazie!!!] = 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" [ attenti quando qlcs non viene utilizzato spesso c'è la scusa per toglierlo...vedi 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" [Ravenna: Operaio tenta suicidio con i gas di scarico alla base del gesto problemi economici 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" [ Sign Paoloooo ma ci siamo anche noi che la tiriamo su di morale 😯 giustooo?? 😙] = 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 #14Nov portiamo in piazza #labuonascuola delle lotte contro la scuola-azienda di Renzi! #scioperosociale 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" [ do you know any places in the South of Italy? Conosci qualche località del Sud Italia?] = 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" [Ho tutto ciò di cui ho bisogno ora non potrei chiedere di più] = positive |
Analyze the sentiment of the news headline enclosed in square brackets, determine if it is positive, neutral, or negative, and return the answer as the corresponding sentiment label "positive" or "neutral" or "negative" [ dove sta questa buona scuola? Dove] = 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 tutti I vincitori dei #GoldenGlobes 2015 andati in onda questa notte!! 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" [Ora che ho superato una mia \"fobia\" pattinando (diciamo) sul ghiaccio posso anche andare in cima all'Everest superandone un'altra.] = 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 fatta da insegnanti che quotidianamente dedicano le migliori energie per il meglio non meriterebbe inquisizioni di merito] = 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" [ vedrai l'emblema della #palestra] = neutral |
Analyze the sentiment of the news headline enclosed in square brackets, determine if it is positive, neutral, or negative, and return the answer as the corresponding sentiment label "positive" or "neutral" or "negative" [Ti difenderò da incubi e tristezzeTi riparerò da inganni e maldicenzeE ti abbraccerò per darti forza sempre 💞 💞] = 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 2: delle italiche emergenze. http via ] = negative |
Analyze the sentiment of the news headline enclosed in square brackets, determine if it is positive, neutral, or negative, and return the answer as the corresponding sentiment label "positive" or "neutral" or "negative" [Jadwal Liga Italia 2015: Prediksi AS Roma vs Lazio 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" [MANCA POCOOO. PARTECIPATE TUTTI AL SUO FOLLOW TRICK E SPARGETE LA VOCE] = 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 4 giorni e ci libereremo de #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" [\": prima della prima di #GodownMoses di #RomeoCastellucci http #Calbicipiace] = 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" [ mmm... sorry posso sperare nella tua magnanimità e in una migliore taratura della fotocamera?] = 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" [Sto compilando il questionario su "la buona scuola" di Renzi. Non ci capisco un cazzo] = 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" [Bomba carta contro un negozio con i dipendenti ancora all’interno 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" [ io ho votato (anche) Vespasiano 😀] = 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 voci contrarie al documento sulla “buona scuola”: Dai licei “Pasteur” e “Mamiani” arriva una sonora bocciatura... 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" [MARINE LE PEN VORREBBE IL REFERENDUM SULLA PENA DI MORTE DOPO L'ATTENTATO TERRORISTICO Dopo i noti fatti accadut... 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" [Dopo questa le abbiamo fatte tutte! 👍🚲 @ In Centro Pavia 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... Si comprende cioè la differenza tra SCUOLA e LUDOTECA corredata di servizio babysitter? ...Davvero?] = negative |
Analyze the sentiment of the news headline enclosed in square brackets, determine if it is positive, neutral, or negative, and return the answer as the corresponding sentiment label "positive" or "neutral" or "negative" [Raccolto preso: 140 di cibo! Hai controllato anche tu il tuo orticello! http #android #androidgames #gameinsight] = 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 uomo!] = 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" [*#genitori scuola dell'infanzia costituzione** i grandi assenti de #labuonascuola per adesso a #fahrenheit] = 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 fa un ragazzo di soli 24 anni ad aver conquistato la libertà finanziaria? Grazie ad un sistema… 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" [È l'unico che resta gli voglio troppo bene] = positive |
Analyze the sentiment of the news headline enclosed in square brackets, determine if it is positive, neutral, or negative, and return the answer as the corresponding sentiment label "positive" or "neutral" or "negative" [*anche fossero 150.000 i questionari compilati per #labuonascuola sarebbero comunque pochi ** adesso a #fahrenheit] = 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" [Cos'è oggi l'originalità? Qualcuno può aiutarmi a fare qualche distinguo?] = 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 milleh] = 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" [ (#M5S) : "Nonostante i disastri il Ministero continua a parlare di buona scuola!" -> 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" [Il ritorno della #Lira? Quest'anno il destino d'Italia è in bilico...la Reuters oggi: 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" [ non immagini quanto 😂] = 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" [ è inutile inviare commenti sulla Buona Scuola non vengono pubblicati....docenti arrabbiati!#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" [Un pezzo di storia della mia vita su un A-320 AIRONE... 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" [ Brava fai bene anche io lo faccio non vedo l'ora di vedere il videoo] = 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" [ è buona scuola tenere docenti in servizio dopo i 60? NON conviene x spese sanità/suppl x danno alunni] = 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" [meno di quarto di vita] = 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" [ dopo un serio e attento esame ti informo che il nostro \"Accordo di Amicizia\" è rinnovato per l'anno 2015] = 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" [Ricordiamoci alle prox elezioni chi ha distrutto il lavoro con il #JobsAct e la scuola con #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" [#sondaggio chi sarà il nuovo #Presidente dopo #Napolitano?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" [“@haileygdrsx: cita e rispondi di queen h ♥solo io amo evan peters?” Evan amore mio] = 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" [#14nov #labuonascuolasiamonoi #scioperosociale rete studenti milano! 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" [Robo-Advisor : il Cavallo di Troia della finanza telematica 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" [Strada ampia rallegra gli indigeni! Ora la mia isola è ancora più fantastica! http #android #androidgames #gameinsight] = 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 direi che prof si nasce. Ed é per questo che chi si improvvisa innovatore della scuola farebbe bene a occuparsi di altro] = 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" [LINK: http | #avventure #annoiata #carsex #lombardia | Donna Cerca Uomo Milano PIAZZA LOTTO ) -*&amp;*- ragazza ...] = 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 anche se sto morendo di sonno ieri appena sono tornato mi sono messo a guardare tarzan sparami..] = 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 dibattiti su #labuonascuola aperti a tutti? Ma dove vivi?] = 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" [Alternanza scuola lavoro: percorso professionalizzante nell'editoria il giornalismo il social media management. #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 a #portaaporta con hai difeso bene le idee in cui credi x un'Italia migliore. W #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" [Ecco come #labuonascuola di farà danni all'istruzione anche sui buoni prof #sapevatelo 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" [Della scuola possono e devono parlare tutti #portaaporta #labuonascuola] = neutral |
Analyze the sentiment of the news headline enclosed in square brackets, determine if it is positive, neutral, or negative, and return the answer as the corresponding sentiment label "positive" or "neutral" or "negative" [ #labuonascuola è aperta a tutti! #educationfirst ! E' aperta anche alle critiche. Soprattutto alle proposte costruttive.] = 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" [#14n in tutto il paese è #scioperosociale contro il jobs act e la buona scuola. A Roma corteo da Piazza della... 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" [proposta #libreitalia per #labuonascuola http da sostenere #softwarelibero #scuola #libreoffice ] = 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 grazie... Da mamma ti dico che i nostri ragazzi hanno bisogno di incontri con persone come 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" [ "granularita'"???? ...ma sparatevi...altro che "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" [Al circolo woody allen di Roma si parla 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" [ Un caloroso benvenuto da tutti gli #idoneiconcorsone2012 sostenitori de #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" [ buona scuola di cosa? Siete inutili andate a casa almeno non continuate a far danni.] = 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" [#Scuola "Le linee guida del Ministero dell’istruzione “La buona scuola” infatti prevedono la chiusura delle GAE... 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" [ é bellissimo essere qui !! Questa é #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" [ Per fare una buona scuola basta chiacchere! ma finanziamenti internet nelle scuole attuare autonomia scolastica] = 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 che cambia. Idee e proposte nel nostro dossier su #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" [Responsabilità su scuola oraè nostraaffrontiamola #labuonascuola #scuolapubblicaoggi ] = 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"?Nel senso buona d'animo?] = 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" [“Verso una buona scuola?!?”: incontro/dibattito sul progetto di riforma della scuola – 14 novembre: ... 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" [ Viva la scuola statale! Complimenti alla dirigenza attenta all'esigenza dello studente. Scuola/famiglia 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" ["La buona scuola Vs la scuola giusta" 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" [Aversa: quattro proposte del Pd per la buona scuola -... http] = neutral |
Analyze the sentiment of the news headline enclosed in square brackets, determine if it is positive, neutral, or negative, and return the answer as the corresponding sentiment label "positive" or "neutral" or "negative" [Che bella la consultazione su #labuonascuola Grazie e a chi ha partecipato (soprattutto agli studenti)] = 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 ??? Guardate il concorso dei medici e vergognatevi ! #gianninidimettiti #12000 borse] = 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" [Napoli - ''La buona scuola'' secondo il Partito Democratico (11.11.14): Napoli - ''La buona scuola'' secondo... 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 tutto lo staff avanti tutta con #labuonascuola le riforme sono sempre scomede per qualcuno ma sono necessarie!!!] = 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 ha avuto la sua apoteosi in liguria con la beffa dei contributi per i progetti] = negative |
Analyze the sentiment of the news headline enclosed in square brackets, determine if it is positive, neutral, or negative, and return the answer as the corresponding sentiment label "positive" or "neutral" or "negative" [Il contributo di LibreItalia alla consultazione pubblica #labuonascuola http] = neutral |