摘要
用户在社交网络的评论内容反映了其对公共图书馆的观点和情感,是公共图书馆创新服务模式、提高服务质量的重要依据。基于Python采集用户在大众点评、携程网上对31家省级公共图书馆的评论内容,利用词频分析、高频词语义网络构建、LDA主题聚类、情感倾向分析等挖掘文本内容,分析评论内容特点及用户情感。研究发现,完善基础设施配套、制定服务礼仪规范、建设地方文献数字记忆是新时期公共图书馆高质量发展及满足用户需求的重要选择。
The users'comments on social networks reflect their views and emotions towards public libraries,and are an important basis for public libraries to innovate service models and improve service quality.Based on Python,the article collects users’comments on 31 provincial public libraries on Dianping and Ctrip.com,uses word frequency analysis,semantic network construction of commonly used words,LDA topic clustering,and sentiment tendency analysis to explore text content and analyzes the content features of comments and user emotions.The research has found that improving infrastructure facilities,formulating service etiquette norms,and building digital memories of local documents are the important choices for the high-quality development of public libraries and effectively meeting the needs of users in the new era.
作者
杨九龙
鲍慧璐
Yang Jiulong;Bao Huilu
出处
《图书馆学研究》
CSSCI
北大核心
2021年第21期10-17,共8页
Research on Library Science
基金
陕西省教育厅人文社科专项项目“基于用户信息行为的高校图书馆社交网络创新服务研究”(项目编号:16JK1724)的研究成果之一。
关键词
公共图书馆
在线评论
文本挖掘
情感分析
public libraries
online comments
text-mining
sentiment analysis
