바로가기메뉴

본문 바로가기 주메뉴 바로가기

logo

  • P-ISSN1013-0799
  • E-ISSN2586-2073
  • KCI

Article Contents

Prev Next
e-Submission

Vol.27 No.3

Citation Share

Experimental Study for Effective Combination of Opinion Features

Journal of the Korean Society for Information Management / Journal of the Korean Society for Information Management, (P)1013-0799; (E)2586-2073
2010, v.27 no.3, pp.227-239
https://doi.org/10.3743/KOSIM.2010.27.3.227

(2010). Experimental Study for Effective Combination of Opinion Features. Journal of the Korean Society for Information Management, 27(3), 227-239, https://doi.org/10.3743/KOSIM.2010.27.3.227

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
의견 검색, 의견 마이닝, 자질 결합, 질의 확장, 의견 단어집, opinion retrieval, opinion mining, feature combination, query expansion, opinion lexicon, opinion retrieval, opinion mining, feature combination, query expansion, opinion lexicon

Reference

1.

남상협. (2008). 의견 어구 추출을 위한 생성 모델과 분류 모델을 결합한 부분 지도 학습방법. 한국정보과학회 2008 종합학술대회 논문집, 35(1C), 268-273.

2.

윤홍준. (2010). 오피니언 마이닝 기술을 이용한 효율적 상품평 검색 기법. 정보과학회논문지 : 컴퓨팅의 실제 및 레터, 16(2), 222-226.

3.

이승욱. (2008). 혼합 방식에 기반한 의견 문서 검색 시스템. 정보관리학회지, 25(4), 115-129.

4.

이지혜. (2009). 지도적 잠재의미색인(LSI)기법을 이용한 의견 문서 자동 분류에 관한 실험적 연구. 정보관리학회지, 26(3), 451-462.

5.

Croft, W. B.. (2009). Search Engines: Information Retrieval in Practice. Pearson, , 271-283.

6.

He, B.. (2008). An Effective Statistical Approach to Blog Post Opinion Retrieval (1063-1072). Proceeding of the 17th ACM Conference on Information and Knowledge Management(CIKM-2008).

7.

Huang, X.. (2009). A Unified Relevance Model for Opinion Retrieval (947-956). Proceedings of the 18th ACM Conference on Information and Knowledge Management(CIKM-2009).

8.

Jia, L.. (2008). UIC at TREC 2008 Blog Track (-). Proceedings of the 17th Text Retrieval Conference (TREC-2008).

9.

Gerani, S.. (2010). Proximity-Based Opinion Retrieval (403-410). Proceedings of the 33rd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval(SIGIR-2010).

10.

Kim, S.-M.. (2005). Automatic Detection of Opinion Bearing Words and Sentences (61-66). Proceedings of the 2nd International Joint Conference on Natural Language Processing(IJCNLP-2005).

11.

Macdonald, C.. (2006). The TREC Blogs06 Collection: Creating and Analysing a Blog Test Collection. University of Glasgow.

12.

Macdonald, C.. (2009). Overview of the TREC-2009 Blog Track (-). Proceedings of the 18th Text Retrieval Conference(TREC-2009).

13.

Ounis, I.. (2008). Overview of the TREC-2008 Blog Track (-). Proceedings of the 17th Text Retrieval Conference(TREC-2008).

14.

Strohman, T.. (2005). Indri: A Language-Model based Search Engine for Complex Queries(Extended Version). CIIR Technical Report. .

15.

Text Retrieval Conference(TREC). http://trec.nist.gov.

16.

The Lemur Project. http://www.lemurproject.org.

17.

The BLOGS08 test collection. http://ir.dcs.gla.ac.uk/test_collections/blogs08info.html.

18.

Turney, P. D.. (2003). Measuring Praise and Criticism: Inference of Semantic Orientation from Association. ACM Transactions on Information Systems, 21(4), 315-346.

19.

Vechtomova, O.. (2007). Using Subjective Adjectives in Opinion Retrieval from Blogs (-). Proceedings of the 16th Text Retrieval Conference(TREC-2007).

20.

Yang, K.. (2007). Fusion Approach to Finding Opinions in Blogosphere (-). Proceedings of the 1st International Conference on Weblogs and Social Media(ICWSM-2007).

21.

Zhang, E.. (2006). UCSC on TREC 2006 Blog Opinion Mining (-). Proceedings of the 15th Text Retrieval Conference(TREC-2006).

22.

Zhang, M.. (2008). A Generation Model to Unify Topic Relevance and Lexicon-based Sentiment for Opinion Retrieval (411-418). Proceedings of the 31st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval(SIGIR-2008).

23.

Zhou, G.. (2007). Topic Categorization for Relevancy and Opinion Detection (-). Proceedings of the 16th Text Retrieval Conference(TREC-2007).

Journal of the Korean Society for Information Management

e-Submission OA Policy