以大众点评数据为例的公共图书馆形象调研及优化

Investigation and Optimization of Public Library Image Based on the Data from Website of Dianping

以全国30所公共图书馆为研究对象,近5年大众点评网内容为分析样本,采用内容分析方法,提取出相应的高频词汇并构建出语义网络来分析公共图书馆形象。研究发现公共图书馆在用户心中的整体形象较好,且用户倾向于在网络平台上宣泄不良情绪,显露了公共图书馆形象的不足之处。可尝试从重视公共图书馆环境与馆藏资源建设、提高公共图书馆工作人员的综合素质、举办丰富多彩的活动、注重少儿阅读服务四个方面来优化公共图书馆的形象。

Taking 30 public libraries in China as the research object,the content of the public comment network in the past five years as a sample,using the content analysis,extracting corresponding high-frequency vocabularies and constructing a semantic web to analyze the public library image. It is found that users take a positive attitude on the overall image of public libraries,and they tend to vent bad moods on the network platform,which shows the shortcomings of the image of public library. The public library image can be optimized from four aspects:paying attention to the environment of public library and the construction of collection resources,improving the comprehensive quality of public library staff,holding colorful activities and focusing on children’s reading service.