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Using Product Reviews to Analyze Sentiment Fluctuation of Consumer |
Lin Yuanyuan,Zhan Hongfei(),Yu Junhe,Li Changjiang,Zhang Fan |
The Faculty of Mechanical Engineering and Mechanics, Ningbo University, Ningbo 315211, China |
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Abstract [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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Received: 29 June 2016
Published: 20 December 2016
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