Lucia C. Passaro

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English. In this paper we present the FB-NEWS15 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(More)
English. This paper describes the CoL-ing Lab system for the participation in the constrained run of the EVALITA 2016 SENTIment POLarity Classification Task (Barbieri et al., 2016). The system extends the approach in (Passaro et al., 2014) with emotive features extracted from ItEM Italiano. Questo articolo descrive il sistema sviluppato all'interno del(More)
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