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New Technology of Library and Information Service  2016, Vol. 32 Issue (11): 44-53    DOI: 10.11925/infotech.1003-3513.2016.11.06
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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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[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.

Key wordsData analysis      Text mining      Emotional fluctuation analysis model     
Received: 29 June 2016      Published: 20 December 2016

Cite this article:

Lin Yuanyuan,Zhan Hongfei,Yu Junhe,Li Changjiang,Zhang Fan. Using Product Reviews to Analyze Sentiment Fluctuation of Consumer. New Technology of Library and Information Service, 2016, 32(11): 44-53.

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