基于Rost CM的公共图书馆入馆须知调查分析

Survey and Analysis on Public Library Admission Notices Based on Rost CM

调查分析公共图书馆入馆须知的目的是为了揭示其当前存在的问题并给出改进建议,以推动公共图书馆为读者提供更加以人为本、普遍开放的平等服务。文中在通过internet获取的14所省级公共图书馆入馆须知内容基础上,采用Rost Content Mining System的汉语频度分析、聚类分析、情感分析功能,对入馆须知进行词频、共性特征以及情绪特征分析,并将分析结果与《公共图书馆宣言》、《图书馆服务宣言》理念进行对比,最后从入馆须知制定前、中、后三方面提出了改进建议。

The purpose to investigate and analyze public library admission notices is to reveal the current problems and give out the suggestions for improvement, in order to promote the public library provides more people-oriented and gen- erally open services for the readers. Through the intemet to obtain the 14 provincial library admission notices, This paper analyzes word frequency, emotional characteristics and common features of admission notices by word fre- quency analysis, sentiment analysis, and cluster analysis of Rost CM. And then the author compares the results of the analysis with ＂Public library manifesto＂ / ＂library service manifesto＂ , and finally puts forward the admission notice optimization tips from the three aspects： before- making, in-making, after-making.