Browse > Article
http://dx.doi.org/10.9728/dcs.2014.15.4.559

The Blog Polarity Classification Technique using Opinion Mining  

Lee, Jong-Hyuk (숭실대학교 SW특성화대학원)
Lee, Won-Sang (숭실대학교 SW특성화대학원)
Park, Jea-Won (숭실대학교 SW특성화대학원)
Choi, Jae-Hyun (숭실대학교 SW특성화대학원)
Publication Information
Journal of Digital Contents Society / v.15, no.4, 2014 , pp. 559-568 More about this Journal
Abstract
Previous polarity classification using sentiment analysis utilizes a sentence rule by product reviews based rating points. It is difficult to be applied to blogs which have not rating of product reviews and is possible to fabricate product reviews by comment part-timers and managers who use web site so it is not easy to understand a product and store reviews which are reliability. Considering to these problems, if we analyze blogs which have personal and frank opinions and classify polarity, it is possible to understand rightly opinions for the product, store. This paper suggests that we extract high frequency vocabularies in blogs by several domains and choose topic words. Then we apply a technique of sentiment analysis and classify polarity about contents of blogs. To evaluate performances of sentiment analysis, we utilize the measurement index that use Precision, Recall, F-Score in an information retrieval field. In a result of evaluation, using suggested sentiment analysis is the better performances to classify polarity than previous techniques of using the sentence rule based product reviews.
Keywords
Sentiment Vocabulary; Sentiment Orientation; Polarity Classification; Opinion Mining;
Citations & Related Records
Times Cited By KSCI : 6  (Citation Analysis)
연도 인용수 순위
1 Hong-Gu Choi, Een-Jun Hwang, "Emotion-based Music Recommendation System based on Twitter Document Analysis", The Korean Institute of Information Scientists and Engineers: CPL and Letter",Vol. 18, No. 11, November 2012.   과학기술학회마을
2 J. Kamps M. Marx, R. Mokken, and M. de Rijke., "Using WordNet to Measure Semantic Orientations of Adjectives" Proceedings of LREC, 2004.
3 Hatzivassiloglou V., Mackeown K., "Predicting the Semantic Orientation of Adjectives." Proceedings of the 8th Conference on European chapter of the assocation for Computational Linguistics, pp.174-181,1997
4 Kwang-Seob Shim, Jae-Hyung Yang, "MACH : A Supersonic Korean Morphological Analyzer", Proceedings of the 19th International Conference on Comp utational Linguistics (COLING-2002), pp.939-945, 2002
5 Kwang-Mo Ahn, Yun-Suk Kim, and Young-Hoon Kim, Young-Hoon Seo, "Sentiment Classification of Movie Reviews using Levenshtein Distance", Journal of Digital Contents Society Vol. 14, No. 4., pp.581-587, Dec. 2013   DOI   ScienceOn
6 Andrea Esuli, Fabrizio Sebastiani, "PageRanking WordNet Synsets: An Application to Opinion Mining," Proc. of the Annual Meeting of the Association for Computational Linguistics 2007,pp.424-431, 2007.
7 Jong-Seok Song, Soo-Won Lee, "Automatic Construction of Positive/Negative Feature-Predicate Dictionary for Polarity Classification of Product Reviews", The Korean Institute of Information Scientists and Engineers: Software and Application, Vol. 38, No.3, March 2011.   과학기술학회마을
8 Xiaowen Ding, Bing Liu, Phips S. Yu, "A Holistic Lexicon-Based Approach to Opinion Mining", Conference on Web Search and Data Mining, 2008
9 http://korean.abcthesaurus.com/
10 Cheol-Seong Lee, Dong-Hee Choi, Seong-Soon Kim Jaewoo Kang, "Classification and Analysis of Emotion in Korean Microblog Texts", The Korean Institute of Information Scientists and Engineers: Database, Vol. 40, No.3, June 2013.   과학기술학회마을
11 In-Jo Park, "The analysis of Korean affective terms: listing affective terms and exploring dimensions in the affective terms", Seoul National University, Psychology College, Master's thesis, 2001
12 In-Jo Park, Kyung-Hwan Min, "Making a List of Korean Emotion Terms and Exploring Dimensions Underlying Them", Korean Journal of Social and Personality Psychology, Vol. 19, No. 1, pp. 109-129, 2005.
13 Hong-June Yune, Han-Joon Kim, Jae-Young Chang "An Efficient Search Method of Product Reviews using Opinion Mining Techniques", The Korean Institute of Information Scientists and Engineers: CPL and Letter", Vol. 16, No. 2, February 2010.   과학기술학회마을
14 Pavel Smrz., "Using WordNet for Opinion Mining," Proc. of the International WordNet Conference 2006, pp.333-335, 2006.
15 Minqing Hu and Bing Liu, "Mining and Summarizing Customer Reviews." KDD'05, Seattle, Washington, USA., Aug.2004.
16 Sung-Ho Oh, Shin-Jae Kang, "Movie Retrieval System by Analyzing Sentimental Keyword from User's Movie Reviews", Journal of Korea Academia-Industrial cooperation Society, Vol. 14, No. 3 pp. 1422-142, July 2013.   과학기술학회마을   DOI   ScienceOn