高校图书馆阅读推广的微书评实证研究

An Empirical Study on Micro Book Reviews of Reading Promotion for University Libraries

借助数据挖掘方法开展微书评实证分析,有助于提升图书馆阅读推广的服务水平。依托微书评APP、图书自动化系统获取微书评行为特征变量与实证数据。基于实证数据分析微书评的读者自然属性特征,聚类获得活跃读者、一般读者和休眠读者等差异群体;基于情感词库展开微书评内容的情感词判别与情感极性倾向分析,聚类获得正向图书、负向图书和争议图书等差异群体。针对每个群体,实施阅读推广的个性化与精细化的营销服务策略,有助于提升图书资源利用率和改善阅读推广服务,为践行阮冈纳赞图书馆学五定律之"为读者找书、为书找读者"的服务理念提供有益参考。

Carrying out the empirical analysis of micro book reviews with the help of data-mining method is helpful to promote the service level of library reading promotion.Based on micro book review APPs and the book automation system,it obtains the characteristic variables and empirical data of micro book reviews.Based on the empirical data and analyzing the readers’ natural attribute characteristics of micro book reviews,it clusters and obtains the different groups which are active readers,general readers and dormant readers.Based on emotional lexicon discriminating the emotional words and analyzing the emotional inclination,it clusters and obtains the different groups which are positive books,prudent books and controversial books.For each group the paper expounded some personalized and detailed service-marketing strategies of reading promotion,which are helpful to promote the utilization of book resources and improve the service level of library reading promotion,and provide a useful reference for practicing the service concept for"Finding books for readers and finding readers for books" of Ranganathan’s five laws of library science.