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Exploring the use of linguistic features in sentiment analysis

By M. Genereux and M. Santini

Abstract

In this paper we describe some explorations of the potential of genre-revealing features on automatic sentiment analysis. In particular, we use a small subset of the ‘linguistic facets’ employed in recent experiments on automatic genre identification in combination with more traditional sentiment-revealing features on two different single-genre corpora: a corpus of English blogs and a corpus of French reviews(relectures). Although still preliminary, results show that linguistic facets might have a positive influence on sentiment analysis because 6 out of 14 facets used in the experiments are among the first 22 most important discriminative features

Topics: Q100 Linguistics
Year: 2007
OAI identifier: oai:eprints.brighton.ac.uk:3210

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