计算机与现代化 ›› 2020, Vol. 0 ›› Issue (09): 12-18.doi: 10.3969/j.issn.1006-2475.2020.09.003

• 数据库与数据挖掘 • 上一篇    下一篇

基于百度贴吧的高校网络舆情热点话题分析

  

  1. (泰州学院计算机科学与技术学院,江苏泰州225300)
  • 收稿日期:2020-05-27 出版日期:2020-09-24 发布日期:2020-09-24
  • 作者简介:李金海(1988—),男,安徽天长人,讲师,博士,研究方向:网络舆情预警,数据挖掘,E-mail: ljh-hk@163.com; 胡旭(1997—),女,贵州遵义人,本科生,研究方向:高校网络舆情,数据分析。
  • 基金资助:
    江苏省社科基金资助项目(16TQB009); 教育部人文社会科学研究青年基金资助项目(18YJCZH077); 江苏省高校自然科学研究项目(17KJB520038)

Analysis of Hot Topics of College Online Public Opinion Based on Baidu Tieba

  1. (School of Computer Science and Technology, Taizhou University, Taizhou 225300, China)
  • Received:2020-05-27 Online:2020-09-24 Published:2020-09-24

摘要: 高校网络舆情是大学生在校园背景下,对网络上直接关系到大学生或者自身感兴趣的公共事件所持态度、认知、意见、情感交叉的集合。随着网络应用的普及,高校网络舆情可能朝着任一个不可控的方向发展,因此,高校网络舆情研究是高校管理中的重要工作之一。本文以百度贴吧中的泰州学院吧为数据源,利用网络爬虫采集泰州学院吧主题帖内容和回帖数量作为实验数据,通过Python数据分析技术分析高校网络舆情的热点话题,并通过数据可视化技术进行数据分析结果展示,基于数据分析结果研究高校网络舆情热点话题成因与影响,最终提出相关引导策略以促进互联网环境下大学生全面发展和推进校园和谐建设。

关键词: 高校舆情分析, 数据分析, 信息行为, 百度贴吧

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

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