微型电脑应用

为了掌握学生思想动态,针对性的提供思想政治教育策略,提出了一种基于网络媒体和数据挖掘的大学生思想动态评估方法。利用网络爬虫抓取官方微博内容和评论内容,提取和分析关键词;其次,通过词云展示和K-means聚类分析及时掌握大学生的思想动态。研究结果表明,通过词云展示和聚类分析可以有效获取一段时间内大学生所关注的热点话题,为大学生思想政治教育提供有针对性的方法和策略,帮助大学生树立正确的价值取向和思想观念具有重要的指导意义。

In order to grasp the university student thought varying in time, and provide a pertinence ideological and political education strategy, this paper presents a method of dynamic evaluation of college students' thoughts based on network media and data mining. First, the Web crawler is used to capture the content of official Weibo and comments, and to extract and analyze key words. Second, the word cloud display and K-means cluster analysis are used to grasp the ideological trends of college students. The results show that the word clouds display and cluster analysis can effectively capture the hot topics that college students have been concerned about for a time period, and provide targeted methods and strategies for college students' ideological and political education, it is of great significance to help college students set up correct value orientation and ideological concept.