Abstract: The college online public opinion is the collection of attitudes, cognitions, opinions, and emotions on public events directly related to college students or they are interested in in the context of campus. With the popularity of network applications, the college online public opinion may develop in any uncontrollable direction. Therefore, the study of college online public opinion is an important work in college management. This paper uses the Taizhou college Bar as the data source, and uses Web crawlers to collect the content of the topic posts and the number of replies of the Taizhou college Bar as experimental data. Through Python data analysis technology, the hot topics of college online public opinion is analyzed, and the data analysis results are demonstrated through the data visualization technology. The causes and effects of hot topics of college online public opinion is studied based on the results of data analysis. Finally, the paper proposes guidance strategies to promote the overall development of college students under the Internet environment and promote the campus harmonious construction.

Key words: analysis of college online public opinion, data analysis, information behavior, Baidu Tieba