| 基于信息分类的网络书评内容挖掘与整合研究 |
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| 引用本文： | 祝振媛.基于信息分类的网络书评内容挖掘与整合研究[J].图书情报工作,2016,60(1):114-124. |
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| 作者姓名： | 祝振媛 |
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| 作者单位： | 北京大学信息管理系 北京 100871 |
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| 摘 要： | 目的/意义]从定量分析和定性分析两个方面对英文网络书评进行内容挖掘,形成一套基于信息分类的英文网络书评的内容挖掘方法体系,实现多文本书评的信息整合。方法/过程]对书评文本中句子的分类方法、关键信息的提取方法、情感分类的方法以及内容的呈现方式等几方面进行实验和改进。结果/结论]用户评价结果表明,本文所设计的内容挖掘方法所生成的书评信息摘要在生成质量和有用性两方面都有较好的表现。
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| 关 键 词： | 网络书评 内容挖掘 信息整合 意见挖掘 评论挖掘 |
| 收稿时间： | 2015-11-23 |
Content Mining and Integration Study of Online Book Reviews Based on Information Classification |
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| Zhu Zhenyuan.Content Mining and Integration Study of Online Book Reviews Based on Information Classification[J].Library and Information Service,2016,60(1):114-124. |
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| Authors: | Zhu Zhenyuan |
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| Institution: | Department of Information Management, Peking University, Beijing 100871 |
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| Abstract: | Purpose/significance] This paper focuses on the study of content mining of English online book reviews from the quantitative and qualitative analysis, and gives the content mining methods for English online book reviews based on information classification in order to achieve information integration of multiple-text book reviews.Method/process] This paper also does research of sentence classification method, extraction method of key information, sentiment classification method and presentation of the abstract content of book reviews.Result/conclusion] Analysis of the evaluation shows that the results which are based on content mining method of this paper have better performance in writing quality and usefulness. |
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| Keywords: | online book reviews content mining information integration opinion mining reviews mining |
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