Detecting Opinions Using Deep Syntactic Analysis

In this paper, we present an opinion detection system built on top of a robust syntactic pars-er. The goal of this system is to extract opi-nions associated with products but also with characteristics of these products, i.e. to per-form feature-based opinion extraction. To car-ry out this task, and following a rget corpus tastudy, the robust syntactic parser is enriched by associa ting polarities to pertinent lexical elements and by developing generic rules to extract relations of opinions t ogether with their polarity, i.e. positive or negative. These rela-tions are used to feed an opinion representa-tion model. A first evaluation shows very en-couraging results, but numerous perspectives and developments remain to be inve stigated.

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