社会化阅读平台中用户评论内容的细粒度情感探究——以掌阅图书馆APP出版畅销榜中用户评论数据为例  

A Fine-grained Emotional Exploration of User Comments in Social Reading Platform:Taking User Comment Data in the Best-Selling List of IREADER-APP as an Example

作　　者：张仁琼[1] ZHANG Ren-qiong(The Library of Hefei University of Technology,Hefei230009,China)

机构地区：[1]合肥工业大学,230009

出　　处：《大学图书情报学刊》2020年第3期73-78,共6页Journal of Academic Library and Information Science

基　　金：安徽省高校图工委基金项目“基于图书定位技术的高校图书馆精准服务研究”(TGW16B04);安徽省高校图工委基金项目“高校决策咨询与图书馆知识服务创新研究”(TGW16B02)。

摘　　要：文章以掌阅图书馆APP中用户评论内容为分析对象,开展用户细粒度情感的实证研究。首先依据中文情感词汇本体统计、分析用户评论内容的情感词,再借助中文情感词汇本体和LDA隐主题建模方法达到细粒度情感主题聚类,并对用户评论内容中反映的情感主题进行分析。研究结果表明,词汇本体匹配能有效提取用户评论内容中的用户情感要素,情感主题聚类能够提供更细腻的用户情感体验信息。Taking the user commentsfrom IREADER-APP as analysis object,the paper carries out empirical research on users fine-grained emotion byanalyzing the emotional words of the user s comment content from the Chinese emotional vocabulary ontology,and clustering the fine-grained emotional elementswith Emotional Dictionary in Chinese domain and LDA(Latent Dirichlet Allocation)model.The paper makes a further analysis of the emotional themes reflected in the user comments.The results show that vocabulary ontology matching can effectively extract user emotional elements in user comment content,and emotional topic clustering can provide more detailed information of user emotional experience.

关 键 词：社会化阅读 用户评论 用户情感 情感分析 阅读推广 

分 类 号：G250[文化科学—图书馆学]