图书评论特征抽取研究综述  

A Survey on Feature Extraction from Book Review

作　　者：祁瑞华[1,2] 杨明昕 徐琳宏[2] 关菁华[2] Qi Ruihua;Yang Mingxi;Xu Linhong;Guan Jinghua(Linguistics Research Center,Dalian University of Foreign Languages,Dalian 116044,China;Research Center for Language Intelligence,Dalian University of Foreign Languages,Dalian 116044,China)

机构地区：[1]大连外国语大学语言学研究基地,辽宁大连116044 [2]大连外国语大学语言智能研究中心,辽宁大连116044

出　　处：《现代情报》2019年第9期160-167,共8页Journal of Modern Information

基　　金：国家社会科学基金一般项目“典籍英译国外读者网上评论观点挖掘研究”(项目编号:15BYY028);大连外国语大学研究创新团队“计算语言学与人工智能创新团队”(项目编号:2016CXTD06);国家自然科学基金“面向社交媒体的多语种文本情感分析方法研究”(项目编号:61806038)

摘　　要：[目的/意义]图书评论是出版社、图书馆和用户研究读者观点的重要线索,评论特征抽取研究是提高图书评论观点精准挖掘效率和准确率的基础性工作。[方法/过程]分别从评论特征抽取研究和图书评论特征聚类、语义表示、隐性特征抽取的典型方法等方面对国内外研究现状进行客观分析,梳理相关领域研究发展脉络和趋势。[结果/结论]指出图书评论特征抽取效率和准确率的提高需要考虑特征聚类、语义表示和隐性特征抽取等关键问题。[Purpose/Significance]Book review is an important clue for publishers,libraries and users to evaluate works.Feature extraction is the basic work to improve the efficiency and accuracy of the fine grained opinion mining of book reviews.[Method/Process]This paper made an objective analysis of the current research situation at home and abroad from the perspectives of the research on the reviewfeatureextraction,the clustering of book review feature,semantic representation,and the typical methods of the extraction of implicit feature,and sorted out the development context and trends of the research in related fields.[Result/Conclusion]It is pointed out that to improve the efficiency and accuracy of featureextractionin book reviews,some key issues should be considered,such as feature clustering,semantic representation and implicit featureextraction.

关 键 词：图书评论 特征抽取 综述 

分 类 号：N99[文化科学—情报学]