Analysis of Public Sentiment in Libraries Based on Text Mining
With the increasing influence of mobile Internet on young readers in university libraries,the proportion of new generation readers using QQ instant messaging software is increasing,text mining of library QQ group text information can be used to under-stand the public sentiment of the library,which can be used for library public sentiment warning and provide strong public sentiment response capabilities for library decision-makers.Web crawler technology is used to crawl chat records in QQ groups from Septem-ber 2022 to December 2022 as library public sentiment data,then performing data preprocessing operations such as deduplication and cleaning on the original public sentiment data.Then,Tsinghua University's Thulac segmentation technology is used to extract keywords and calculate their weights from the public sentiment data,and them the WordCloud library is used for visualization.Next,the spaCy library is used to to calculate specific emotional tendencies and scores for public opinion data,and finally the emotional tendencies of library public opinion are analyzed through experiments.
text mininglibrarypublic sentimentsentiment analysisThulacWordCloudspaCy
NETL
NSTL
万方数据
