[Objective] This paper establishes a model to analyze the sentiment fluctuation of consumers with online product reviews. [Methods] We constructed the model with product review mining and sentiment analysis techniques. And also examined the influence of conjunctions to sentence sentimental tendentiousness and then calculated their weights. [Results] The proposed model effectively analysed online reviews of one mobile phone posted on Jingdong and Zhongguancun Online from November 2013 to January 2015. [Limitations] Only included the total number and frequency of product feature keywords from reviews posted in neighboring time slots. [Conclusions] The proposed model could effectively analyze the developing trends and reasons of consumer sentiment fluctuation over a period of time, which provides valuable information to enterprise decision making.
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