Analysis of Competition in Chinese Automobile Industry based on an Opinion and Sentiment Mining System

Xinzhou Xie, Qiang Wang, Anqi Chen


In this paper a methodology for a mining system is introduced. The architecture of the system is based upon what is called opinion and sentiment mining. The mining system is used to analyze competition in the auto industry. The results show the advantages with each of the two cars used for this study. Instead of offering theory this is a hands-on approach to help solve specific problems by describing a complex process.


Competitive Intelligence, Opinion Mining, Chinese Automobile Industry

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A HowNet Word List for Sentiment Analysis (beta version). Retrieved 2010-04-30. Available online at URL:

Agarwal, A. & Bhattacharyya, P. (2005). Sentiment analysis: A new approach for effective use of linguistic knowledge and exploiting similarities in a set of documents to be classified. Proceedings of the International Conference on Natural Language Processing (ICON).

Chao, L., Jian, S., Yi, G., Xingjun, X., Lei, H. & Sheng, L. (2009). etc. Chinese Chunking With Maximum Entropy Models. Proceedings of CIPS-ParsEval-2009.

Fuld & Company. Intelligence Software Report 2008-2009. London, United Kingdom. Fuld & Company, Inc. 2009.

Gang, L. & Qiangbin, D. (2008). An Approach Based on Words Numbers for Extracting Text from Web Pages. Information Science, 26(3).

Hatzivassiloglou, V. & McKeown, K. R. (1997). Predicting the semantic orientation of adjectives. Proceedings of the 35th annual meeting of ACL.

Internet World Stats. Available online at URL:

Pang, B. & Lee, L. (2008). Opinion Mining and Sentiment Analysis. Foundations and Trends in Information Retrieval, 2(1-2): 1-135.

Whitelaw, C., Garg, N., & Argamon, S. (2005). Using appraisal groups for sentiment analysis. Proceedings of CIKM-05, 14th ACM International Conference on Information and Knowledge Management, Bremen, Germany. pp. 625–631.

Zhao, J., Xu, H., Huang, X., Tan, S., Liu, K. & Zhang, Q. (2008). Overview of Chinese Opinion Analysis Evaluation 2008. Proceedings of the First Chinese Opinion Analysis Evaluation (COAE 2008). pp. 1-20.


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