FB-NEWS15: A Topic-Annotated Facebook Corpus for Emotion Detection and Sentiment Analysis

English. In this paper we present the FBNEWS15 corpus, a new Italian resource for sentiment analysis and emotion detection. The corpus has been built by crawling the Facebook pages of the most important newspapers in Italy and it has been organized into topics using LDA. In this work we provide a preliminary analysis of the corpus, including the most debated news in 2015. Italiano. In questo lavoro presentiamo il corpus FBNEWS15, un corpus italiano creato per scopi di sentiment analysis ed emotion detection. Il corpus stato costruito scaricando le pagine Facebook delle maggiori testate giornalistiche in Italia e successivamente organizzato in topic utilizzando LDA. In questo articolo forniamo una analisi preliminare del corpus, e mostriamo le notizie pi discusse nel 2015.

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