Research on the Resource Classification Strategies of Picture Books Based on User Generated Content——Taking Xiao hongshu and Douban Platform for Example
Through the analysis of user-generated picture book tags and short comments on UGC platform,it is expected that the popular classification method and the traditional classification method can be combined to classify picture books in picture book resource service institutions such as libraries.Through manual screening,1375 picture book tags on Xiaohongshu were obtained,73,472 short comments on Douban platform were collected by Bazhuayu,and text mining and analysis of picture book tags and short book comments data were further carried out by using Python and Weiciyun text analysis tools,as well as tag length,tag part of speech and tag co-appearance network analysis of picture book tags.The paper analyzes the high frequency feature words,LDA theme clustering and emo-tional tendency of picture book short comments.The paper extracts five content characteristics of picture book tags,further summarizes the five themes of picture book short comments,and finally puts forward three ideas of picture book resource classification.
Social tagsShort commentsText miningPicture book classification
NETL
NSTL
万方数据
