A Sentiment Classification Method Using Context Information in Product Review Summarization

상품 리뷰 요약에서의 문맥 정보를 이용한 의견 분류 방법

  • 양정연 (서울대학교 컴퓨터공학부) ;
  • 명재석 (서울대학교 컴퓨터공학부) ;
  • 이상구 (서울대학교 컴퓨터공학부)
  • Published : 2009.08.15


As the trend of e-business activities develop, customers come into contact with products through on-line shopping sites and lots of customers refer product reviews before the purchasing on-line. However, as the volume of product reviews grow, it takes a great deal of time and effort for customers to read and evaluate voluminous product reviews. Lately, attention is being paid to Opinion Mining(OM) as one of the effective solutions to this problem. In this paper, we propose an efficient method for opinion sentiment classification of product reviews using product specific context information of words occurred in the reviews. We define the context information of words and propose the application of context for sentiment classification and we show the performance of our method through the experiments. Additionally, in case of word corpus construction, we propose the method to construct word corpus automatically using the review texts and review scores in order to prevent traditional manual process. In consequence, we can easily get exact sentiment polarities of opinion words in product reviews.


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