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

Xinzhou Xie, Qiang Wang, Anqi Chen

Abstract


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.

Keywords


Competitive Intelligence, Opinion Mining, Chinese Automobile Industry

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References


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