Experimental Study for Effective Combination of Opinion Features (효과적인 의견 자질 결합을 위한 실험적 연구)

Kyoung-Soo Han (한경수)

doi:10.3743/KOSIM.2010.27.3.227

Experimental Study for Effective Combination of Opinion Features

Journal of the Korean Society for Information Management
Abbr : JKOSIM
2010, 27(3), pp.227~239
DOI : 10.3743/KOSIM.2010.27.3.227
Publisher : 한국정보관리학회
Research Area : Interdisciplinary Studies > Library and Information Science
Received : August 14, 2010
Accepted : August 27, 2010
Published : September 30, 2010

Kyoung-Soo Han ¹

¹성결대학교

Accredited

ABSTRACT

Opinion retrieval is to retrieve items which are relevant to the user information need topically and include opinion about the topic. This paper aims to find a method to represent user information need for effective opinion retrieval and to analyze the combination methods for opinion features through various experiments. The experiments are carried out in the inference network framework using the Blogs06 collection and 100 TREC test topics. The results show that our suggested representation method based on hidden ‘opinion’ concept is effective, and the compact model with very small opinion lexicon shows the comparable performance to the previous model on the same test data set.

KEYWORDS

opinion retrieval, opinion mining, feature combination, query expansion, opinion lexicon

Citation status

* References for papers published after 2023 are currently being built.

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Journal of the Korean Society for Information Management 2023 KCI Impact Factor : 1.31

Experimental Study for Effective Combination of Opinion Features

ABSTRACT

KEYWORDS

Citation status

* References for papers published after 2023 are currently being built.

Journal of the Korean Society for Information Management 2023 KCI Impact Factor : 1.31

Experimental Study for Effective Combination of Opinion Features

ABSTRACT

KEYWORDS

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