收稿日期: 2014-05-04
修回日期: 2014-06-01
网络出版日期: 2014-07-05
基金资助
本文系广东省哲学社会科学“十二五”规划2013年度项目“基于情境和用户感知的知识推荐机制研究”（项目编号：CD13CTS01）研究成果之一。
Content-oriented Evaluation and Detection for Product Reviews
Received date: 2014-05-04
Revised date: 2014-06-01
Online published: 2014-07-05
聂卉 . 基于内容分析的用户评论质量的评价与预测[J]. 图书情报工作, 2014 , 58(13) : 83 -89 . DOI: 10.13266/j.issn.0252-3116.2014.13.014
In order to access high-quality product reviews, this paper studied how to evaluate the quality of reviews and automatically identify the most useful reviews. It particularly examined how the textual aspect of a review affects the perceived usefulness, in terms of linguistic characteristics, semantics contents, and emotional tendencies. This paper adopted advanced text analysis techniques to extract feature indicators, validated their practicability through quantitative analysis and machine learning methods, and then designed a feasible utility-oriented prediction model. The results indicated that based on the review contents, reviews with high quality can be detected in order to improve the utility value of reviews.
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