| 学术APP用户在线评论主题语义关联研究 |
| |
| 引用本文： | 王欣研,张向先,张莉曼.学术APP用户在线评论主题语义关联研究[J].情报科学,2020,38(6):25-31. |
| |
| 作者姓名： | 王欣研 张向先 张莉曼 |
| |
| 作者单位： | 吉林大学管理学院,吉林长春130022;吉林大学管理学院,吉林长春130022;吉林大学管理学院,吉林长春130022 |
| |
| 摘 要： | 【目的/意义】针对学术APP评论数据特征,挖掘用户评论语义关联关系,为平台运营者和开发者高效获取用户需求和关注点提供思路和指导方法。【方法/过程】首先,基于LDA主题模型和GloVe词向量模型构建学术APP用户在线评论主题语义关联研究框架,然后,采集超星移动图书馆APP在线评论作为样本数据,通过主题识别获取用户评论主题并基于词向量相似性得到主题语义关联,最后构建出语义关联主题图谱。【结果/结论】实验结果表明运用文章提出的思路方法能够有效发现用户评论主题和主题间关联关系并得到主题关联图谱,从而为学术A PP平台运营者完善平台功能提供参考和借鉴。
|
| 关 键 词： | 学术APP 用户评论 主题识别 语义关联 |
Semantic Association of Online Comment Topics of Academic APP Users |
| |
| WANG Xin-yan,ZHANG Xiang-xian,ZHANG Li-man.Semantic Association of Online Comment Topics of Academic APP Users[J].Information Science,2020,38(6):25-31. |
| |
| Authors: | WANG Xin-yan ZHANG Xiang-xian ZHANG Li-man |
| |
| Institution: | (School of Mangement,Jilin University,Changchun 130022,China) |
| |
| Abstract: | 【Purpose/significance】According to the data characteristics of academic APP reviews,mining the semantic association relationship of user reviews provides ideas and guidance methods for platform operators and developers.Method/process] Firstly,based on LDA topic model and glove word vector model,the research framework of topic semantic association of academicApp users"online comments is constructed.Then,the online comments of Superstar Mobile Library App are collected as sample data,the topic of user comments is obtained through topic recognition,and the topic semantic association is obtained based on the similarity of word vectors.Finally,the semantic topic association map is constructed.【Result/conclusion】The experimental results show that the methods and ideas proposed in this paper can effectively discover the relationship between user comment topics and topics,and get a concise topic association map based on it,so as to provide reference and reference for academic app platform operators to improve platform functions. |
| |
| Keywords: | academic APP user reviews topic recognition semantic association |
| 本文献已被 维普 万方数据 等数据库收录！ |
| 点击此处可从《情报科学》浏览原始摘要信息 |
| 点击此处可从《情报科学》下载免费的PDF全文 |
|
