In this paper we present the FB- NEWS15 corpus, a new Italian resource for sentiment analysis and emotion detec- tion. The corpus has been built by crawl- ing 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.

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

PASSARO, LUCIA
Co-primo
;
Bondielli, Alessandro
Co-primo
;
LENCI, ALESSANDRO
Co-primo
2016-01-01

Abstract

In this paper we present the FB- NEWS15 corpus, a new Italian resource for sentiment analysis and emotion detec- tion. The corpus has been built by crawl- ing 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.
2016
978-88-99982-08-9
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11568/842477
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