온라인 쇼핑몰의 상품평 자동분류를 위한 감성분석 알고리즘

다국어 초록 (Multilingual Abstract)

With the continuously increasing volume of e-commerce transactions, it is now popular to buy some products and to evaluate them on the World Wide Web. The product reviews are very useful to customers because they can make better decisions based on the indirect experiences obtainable through the reviews. Product Reviews are results expressing customer’s sentiments and thus are divided into positive reviews and negative ones. However, as the number of reviews in on-line shopping increases, it is inefficient or sometimes impossible for users to read all the relevant review documents. In this paper, we present a sentiment analysis algorithm for automatically classifying subjective opinions of customer’s reviews using opinion mining technology. The proposed algorithm is to focus on product reviews of on-line shopping, and provides summarized results from large product review data by determining whether they are positive or negative.
Additionally, this paper introduces an automatic review analysis system implemented based on the proposed algorithm, and also present the experiment results for verifying the efficiency of the algorithm.

참고문헌 (Reference)

1 강승식, "한국어 형태소 분석과 정보 검색" 홍릉과학출판사 2003

2 양정연, "상품특징별 점수화를 이용한 상품리뷰요약 시스템의 설계 및 구현" 339-347, 2008

3 명재석, "반자동으로 구축된 의미 사전을 이용한 한국어 상품평 분석 시스템" 한국정보과학회 35 (35): 392-403, 2008

4 "http://www.amazon.com"

5 "http://live.com"

6 Smrz, P., "Using WordNet for Opinion Mining" 333-335, 2006

7 Courses, E., "Using SentiWordNet for multilingual sentiment analysis" 2008

8 Xiaowen Ding, "The Utility of Linguistic Rules in Opinion Mining" 811-812, 2007

9 Liu, B., "Sentiment Anlaysis and Subjectivity. in Invited Chapter for the Handbook of Natural Language Processing" CRC Press 2009

10 Narayanan, R., "Sentiment Analysis of Conditional Sentences" 2009

11 Scaffidi, C., "Red Opal： Product-Feature Scoring from Reviews" 11-15, 2007

12 Esuli, A., "Page-Ranking WordNet Synsets：An Application to Opinion Mining" 424-431, 2007

13 Liu, B., "Opinion observer：analyzing and comparing opinions on the Web" 10-14, 2005

14 Hu, M., "Mining and sum marizing customer reviews" 22-25, 2004

15 Cover, T. M., "Elements of information theory" Wiley 12-14, 1991

16 Miao, Q., "A sentiment mining and retrieval system" 36 : 7192-7198, 2009