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LDA模型下我国公共图书馆微信平台阅读推广内容主题研究 被引量:24

A Study on the Topic of WeChat Platform's Reading Promotion Contents in Public Libraries by Using LDA Model in China
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摘要 [目的/意义]识别国内公共图书馆借助微信公众平台开展阅读推广的内容主题及演化特征。[方法/过程]获取我国31家省级公共图书馆微信号发布的推文,对阅读推广内容进行界定和选取,运用LDA主题模型实现对阅读推广内容的主题识别、演化和阅读量分析。[结果/结论]发现当前公共图书馆借助微信开展的阅读推广内容主题可分为九大类,涵盖范围较广,每个主题随着时间的推移呈现不同的演化趋势,每个主题的阅读量也体现出不同的受欢迎程度。从推广内容的科学规划配比、推广内容从属地位的逆转、特殊人群推广内容设置、推广内容及形式的创新设计、打造品牌推广内容等角度对公共图书馆未来的微信阅读推广工作提出建议。 [Purpose/Significance]This paper aims to identify the content themes and evolutionary characteris-tics of reading promotion by using W eChat public platform in domestic public libraries.[Method/Process]This pa-per defined and selected the reading promotion contents by obtaining the tweets of 31 provincial public libraries on WeChat in China,and used the LDA theme model to realize the theme recognition,and analysis of evolution and reading times of reading promotion contents.[Result/Conclusion]It is found that the topics of reading promotion carried out by public libraries with WeChat can be divided into nine categories,covering a wide range,each topic shows different evolutionary trends over time and the amount of reading for each topie also rllcts a different degree of popularity.Finally,from the perspectives of scientifie planning and matching of the promotion contents,the rever-sal of the subordinate status of the promotion contents,the promotion content setting of special groups,the innovative design of the promotion contents and its forms,and the creation of brand promotion contents,suggestions on the fu-ture WeChat reading promotion work of public libraries are provided.
作者 李倩 王帅 Li Qian;Wang Shuai(School of Economics and Management,Shanxi University,Taiyuan 030006;Institute of Scientific and Technical Information of China,Beijing 100038)
出处 《图书情报工作》 CSSCI 北大核心 2022年第8期72-83,共12页 Library and Information Service
基金 国家社会科学基金一般项目“中文学术领域命名实体的知识图谱构建研究”(项目编号:18BTQ072) 山西省高等学校哲学社会科学研究项目“‘互联网+’背景下山西省中小型工业企业营销模式创新研究”(项目编号:2016204)研究成果之一。
关键词 LDA模型 微信公众平台 阅读推广 主题挖掘 LDA model WeChat public platform reading promotion theme mining
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