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New Technology of Library and Information Service  2014, Vol. 30 Issue (4): 58-64    DOI: 10.11925/infotech.1003-3513.2014.04.09
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Research on Filter Model of Customer Review for Sentiment Analysis
Cai Xiaozhen1, Xu Jian1, Wu Sizhu2
1. School of Information Management, Sun Yat-Sen University, Guangzhou 510006, China;
2. Institute of Medical Information, Chinese Academy of Medical Sciences, Beijing 100020, China
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Abstract  

[Objective] Aiming at the problem of quality testing in the process of sentiment analysis research, the paper constructs a filter model to select more suitable review. [Methods] It selects four indexes namely product words, length of review, emotional strength and adjunct words as judgment references, using multiple linear regression method and data from shopping website to construct the model. [Results] The four indexes are related to the quality of review, and the filter model gains high accuracy in terms of recall rate and precision so that it provides a new method for selection of data source in the sentiment analysis research. [Limitations] Data scarcityleads to the limitation ofthe filter model. [Conclusions] The model can judge the quality of customer reviews in the range of permitted errors.

Key wordsReview filtration      Customer review      Sentiment analysis     
Received: 24 December 2013      Published: 19 May 2014
:  G353.1  

Cite this article:

Cai Xiaozhen, Xu Jian, Wu Sizhu. Research on Filter Model of Customer Review for Sentiment Analysis. New Technology of Library and Information Service, 2014, 30(4): 58-64.

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https://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/10.11925/infotech.1003-3513.2014.04.09     OR     https://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/Y2014/V30/I4/58

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