Product Reviews Mining from Microblogging Based on Sentiment Analysis
For mass product reviews in Chinese microblogging, the paper builds a microblogging product review mining method based on fuzzy evaluation words ontology. Normalized TFIDF weighting scheme is applied to extract the most informative noun patterns to represent the product features, then we use the established fuzzy evaluation words ontology and BMI method to extract evaluation words for product features, and build the influence calculation method of microblogging text, construct the sentiment computing method of product reviews in microblogging, and finally we find that our system shows remarkable performance improvement over the baseline menthod through experiments and data.
microbloggingproduct reviewssentiment analysisopinion words
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