ItEM: A Vector Space Model to Bootstrap an Italian Emotive Lexicon

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TitleItEM: A Vector Space Model to Bootstrap an Italian Emotive Lexicon
Publication TypeConference Proceedings
Year of Publication2015
AuthorsPassaro, L, Pollacci, L, Lenci, A
Conference NameSecond Italian Conference on Computational Linguistics CLiC-it 2015
VolumeII
Number of Volumes2
ISBN Number978-88-99200-62-6
AbstractIn recent years computational linguistics has seen a rising interest in subjectivity, opinions, feelings and emotions. Even though great attention has been given to polarity recognition, the research in emotion detection has had to rely on small emotion resources. In this paper, we present a methodology to build emotive lexicons by jointly exploiting vector space models and human annotation, and we provide the first results of the evaluation with a crowdsourcing experiment.