Browse > Article
http://dx.doi.org/10.5391/JKIIS.2010.20.2.202

A Syllable Kernel based Sentiment Classification for Movie Reviews  

Kim, Sang-Do (경북대학교 컴퓨터공학과)
Park, Seong-Bae (경북대학교 컴퓨터공학과)
Park, Se-Young (경북대학교 컴퓨터공학과)
Lee, Sang-Jo (경북대학교 컴퓨터공학과)
Kim, Kweon-Yang (경일대학교 컴퓨터공학과)
Publication Information
Journal of the Korean Institute of Intelligent Systems / v.20, no.2, 2010 , pp. 202-207 More about this Journal
Abstract
In this paper, we present an automatic sentiment classification method for on-line movie reviews that do not contain explicit sentiment rating scores. For the sentiment polarity classification, positive or negative, we use a Support Vector Machine classifier based on syllable kernel that is an extended model of string kernel. We give some experimental results which show that proposed syllable kernel model can be effectively used in sentiment classification tasks for on-line movie reviews that usually contain a lot of grammatical errors such as spacing or spelling errors.
Keywords
Sentiment classification; Syllable kernel; String kernel; Support Vector Machine;
Citations & Related Records
Times Cited By KSCI : 4  (Citation Analysis)
연도 인용수 순위
1 H. Lodhi, C. Saunders, J. Shawe-Taylor, N. Cristianini, and C. Watkins, "Text Classification using String Kernels," Journal of Machine Learning Research, pp. 419-444, 2002.
2 http://www.unicode.org/charts/PDF/"UAC00.pdf
3 S. S. Kang, Korean Morphological Analysis and Information Retrieval, Hong-Reung publisher, 2002.
4 V. Hatzivassiloglou and K.R McKeown, "Predicting the semantic orientation of adjectives," Proceedings of the 8th conference on European chapter of the Association for Computational Linguistics, pp. 174-181, 1997.
5 P.D. Turney and M.L. Littman, "Measuring praise and criticism: Inference of semantic orientation from association," ACM Trans. Inf. Syst. 21(4), pp. 315-346, 2003.   DOI
6 P. Chesley, B. Vincent, L. Xu, R.K. Srihari, "Using Verbs and Adjectives to Automatically Classify Blog Sentiment," Proceedings of American Association for Artificial Intelligence-Spring Symposium Series Technical Reports, pp. 27-30, 2006.
7 WordNet (http://wordnet.princeton.edu)
8 J. Kamps, M. Marx, R.J. Mokken, and M.D. Rijke, "Using WordNet to measure semantic orientation of adjectives," Proceedings of the 4th International Conference on Language Resources and Evaluation, pp. 1115-1118, 2004.
9 B. Pang, L. Lee, S. Vaithyanathan, "Thumbs up? Sentiment classification using machine learning techniques," Proceedings of the ACL-02 conference on Empirical methods in natural language processing, Vol 10, pp. 79-86, 2002.   DOI
10 황재원, 고영중, "감정 자질을 이용한 한국어 문장 및 문서 감정 분류 시스템," 정보과학회논문지, 제 14권, 제3호, pp. 336-340, 2008.   과학기술학회마을
11 김묘실, 강승식, "SVM을 이용한 악성 댓글 판별 시스템의 설계 및 구현," 한글 및 한국어 정보처리 학술대회논문집, pp. 285-289, 2006.   과학기술학회마을
12 명재석, 이동주, 이상구, "반자동으로 구축된 의미 사전을 이용한 한국어 상품평 분석 시스템," 정보과학회논문지. 제35권, 제6호, pp. 392-403, 2008.   과학기술학회마을
13 남상협, 나승훈, 이예하, 이용훈, 김준기, 이종혁, "의견 어구 추출을 위한 생성 모델과 분류 모델을 결합한 부분 지도 학습 방법," 한국컴퓨터종합학술대회 논문집, Vol.35, No.1(C), pp. 268-273, 2008.   과학기술학회마을