基于文本挖掘的公安院校公众号主题类型挖掘研究

Research on topic type mining of official WeChat public account in police colleges using text mining

旨在通过分析国内各大公安院校官方公众号和微博发布的数据,得出每个院校的关键词分布,在此基础上对各校如何展开新媒体工作提出辅助性可视化帮助。文章运用网络爬虫技术和LDA主题聚类算法,对互联网上获取的某警院数据进行分析,然后使用Flask和Vue将分析出的结果可视化,使之呈现出警院的词云图,该结果可以对警院的新媒体建设提出辅助性建议。

This paper aims to get the key words distribution of the major public security colleges in China by analyzing the data from the official WeChat public account and/or micro-blog of the colleges,and then to provide their new media work with visualized auxiliary help.This paper uses web crawler technology and LDA topic clustering algorithm to analyze the data of a public security college acquired on the Internet,and then uses Flask and Vue to visualize the results analyzed,so as to present the WordCloud picture of the public security college.The results can provide auxiliary suggestions for the construction of new media in the public security college.