Sentiment Orientation Classification of Webpage Online Commentary Based on Intuitionistic Fuzzy Reasoning

Abstract:

An approach of sentiment classification for online comments based on intuitionistic fuzzy reasoning is presented on the basis of the analysis of characteristics of sentiment classification. The approach employs membership function, non-membership function and hesitant function to depict uncertainties of features, quantitatively, by sample training, as well as sentiment expressions influenced by adverbs of degree, conjunctions and negative words are considered. Then the semantic orientation of a text is synthesized on the level of phrases, sentences and texts in sequence by means of aggregations of intuitionistic fuzzy information of features. The presented approach obtains high precision and recall when test using public corpus

• Periodical: Applied Mechanics and Materials (Volumes 347-350)
• Pages: 2369-2374
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.347-350.2369
• Online since: August 2013
• Authors: Xiao Feng Li, Dong Li
• Keywords: Chinese Information Process, Intuitionistic Fuzzy Set, Sentiment Orientation, Text Categorization

References

[1] Wei Jiuchang, Zhao Dingtao. The crisis information communication model and its influence factor research . Information science, 2006, pp.1782-1785.

[2] The workshop on new text Wikis and blogs and other dynamic text sources (EACL22006) http: /www. sics. se/jussi/newtext/, (2006).

[3] Xuefeng, Liu Qiuyun uncertainty reasoning in text classification. Journal of Jiangxi Normal University ( NATURAL SCIENCE EDITION ), 2007, pp.383-386.

[4] Sheng Xiaowei, Jiang Minghu. Based on Rough reduction algorithm of Chinese text automatic classification system. Journal of Electronics & information technology, 2005, pp.1047-0. 52.

[5] Jean-Pierre Barthélemy, Gentian Gusho. On the stability of hierarchical classification: Qualitative approaches . Mathematical and Computer Modelling, 2009, pp.329-332.

DOI: 10.1016/j.mcm.2008.05.060

[6] Zeshui Xu. Intuitionistic fuzzy aggregation operators. IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2007, pp.1179-1187.

DOI: 10.1109/tfuzz.2006.890678

[7] Zhu Yanlan, min Jin, Zhou Yaqian. HowNet based word semantic orientation calculation . Journal of Chinese information processing, 2006, pp.14-20.

[8] Li Chengwei, Peng Qin Ke, Xu Tao. Information inference based sentiment classification for online news comments. Journal of Chinese information processing, 2009, pp.75-79.

[9] Alistair Kennedy, Diana Inkpen. Sentiment Classification of Movie Reviews Using Contextual Valence Shifter. Computational Intelligence, 2006, pp.110-125.

DOI: 10.1111/j.1467-8640.2006.00277.x

[10] Shen Fengxian, Zhu Qiaoming. Based on the characteristics of dispositional webpage feature extraction method of. computer engineering and design, 2009, pp.3894-3896.

[11] Xu Linhong, Lin Hongfei, Yang Zhihao. Based on semantic understanding text tendency recognition mechanism. Journal of Chinese information processing, 2007, pp.96-100.