Detecting Opinions Using Deep Syntactic Analysis
نویسنده
چکیده
In this paper, we present an opinion detection system built on top of a robust syntactic parser. The goal of this system is to extract opinions associated with products but also with characteristics of these products, i.e. to perform feature-based opinion extraction. To carry out this task, and following a target corpus study, the robust syntactic parser is enriched by associating polarities to pertinent lexical elements and by developing generic rules to extract relations of opinions together with their polarity, i.e. positive or negative. These relations are used to feed an opinion representation model. A first evaluation shows very encouraging results, but numerous perspectives and developments remain to be investigated.
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