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Sentiment Analysis on Chinese Web Forums using Elastic Nets: Features, Classification and Interpretation: Working Paper Series--11-11

Fan, Li and Zhang, Yulei and Chen, Hsinchun (2011) Sentiment Analysis on Chinese Web Forums using Elastic Nets: Features, Classification and Interpretation: Working Paper Series--11-11. Working Paper. NAU W.A. Franke College of Business.

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Abstract

Consumer opinion has always been of great concern for businesses and others in the commercial sector. Among all social media which contain opinion-rich content, Web forums have become influential due to the large volume of discussions and high levels of interactivity. The Chinese market has now emerged as one of the largest ones over the world, therefore understanding the opinions and sentiments expressed by Chinese consumers has become increasingly important. In this study, we proposed a generic framework to analyze sentiment in Chinese Web forums. To detect online sentiment, we developed a classification method using Elastic Nets with rich feature representation. The proposed sentiment analysis framework was evaluated on two of the most famous Chinese forums with topics on Chinese stock market and laptop. Findings about interesting features were discussed.

Item Type: Monograph (Working Paper)
Publisher’s Statement: Copyright, where appropriate, is held by the author.
ID number or DOI: 11-11
Keywords: Working paper, Sentiment Analysis, Elastic Nets, Feature Representation
Subjects: H Social Sciences > HE Transportation and Communications
Q Science > QA Mathematics > QA75 Electronic computers. Computer science
NAU Depositing Author Academic Status: Faculty/Staff
Department/Unit: The W.A. Franke College of Business
Date Deposited: 17 Oct 2015 09:29
URI: http://openknowledge.nau.edu/id/eprint/1477

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