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Abstract

An e-commerce reputation analysis system includes a comment data capturing module, a keyword retrieving module, a sentiment analysis module and a reputation analysis module. The comment data capturing module captures comment data from an e-commerce platform according to an analysis item. The keyword retrieving module retrieves keywords from the comment data. The sentiment analysis module compares each keyword with sentiment groups. When a first feature phrase of feature phrases of the sentiment groups matches with a first keyword of the keywords, the sentiment analysis module determines that the sentiment group having the first feature phase is corresponding to the first keyword, and increases a rating of the sentiment group corresponding to the first keyword. The reputation analysis module selects first sentiment groups corresponding to the analysis item from the sentiment groups,and statistically sums the ratings of the first sentiment groups.

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