한국언어정보학회:학술대회논문집 (Proceedings of the Korean Society for Language and Information Conference)
- 한국언어정보학회 2007년도 정기학술대회
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- Pages.76-85
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- 2007
Opinion Extraction based on Syntactic Pieces
- Aoki, Suguru (Nagaoka University of Technology) ;
- Yamamoto, Kazuhide (Nagaoka University of Technology)
- 발행 : 2007.11.01
초록
This paper addresses a task of opinion extraction from given documents and its positive/negative classification. We propose a sentence classification method using a notion of syntactic piece. Syntactic piece is a minimum unit of structure, and is used as an alternative processing unit of n-gram and whole tree structure. We compute its semantic orientation, and classify opinion sentences into positive or negative. We have conducted an experiment on more than 5000 opinion sentences of multiple domains, and have proven that our approach attains high performance at 91% precision.