图书情报工作 ›› 2016, Vol. 60 ›› Issue (20): 104-111.DOI: 10.13266/j.issn.0252-3116.2016.20.013

• 情报研究 • 上一篇    下一篇

基于情感分析与主题分析的“后微博”时代突发事件政府信息公开研究——以新浪微博“天津爆炸”话题为例

赵晓航   

  1. 国家计算机网络应急技术处理协调中心 北京 100029
  • 收稿日期:2016-08-16 修回日期:2016-10-07 出版日期:2016-10-20 发布日期:2016-10-20
  • 作者简介:赵晓航(ORCID:0000-0003-4699-0997),研究实习员,硕士,E-mail:pkuzxh@yeah.net。

The Study on Government News Release in the Era of Post-microblog Based on Sentiment Analysis and Subject Analysis: A Case Study of the “Tianjin Explosion” on Sina Microblog

Zhao Xiaohang   

  1. National Computer Network Emergency Response Technical Team/Coordination Center of China, Beijing 100029
  • Received:2016-08-16 Revised:2016-10-07 Online:2016-10-20 Published:2016-10-20

摘要:

[目的/意义] 旨在通过对突发事件舆情研究,探索危机传播管理中的舆情研判方法,并进一步为政府信息公开提供实操方法的建议。[方法/过程] 在理论研究层面,基于危机传播的基本要点,对信息发布效果和舆情实时反馈进行综合分析;在应用处理层面,以新浪微博中“天津爆炸”事件相关信息为例,爬取新浪微博全量数据,基于危机传播领域知识和信息发布文本构建领域词表,并结合危机传播阶段特征,对全量数据进行主题提取和情感分析。[结果/结论] “后微博”时代,微博用户量下降,但其仍旧是突发事件信息公开和舆情扩散的主要阵地。探求突发事件下政府如何利用微博平台,收集、研判、应对网络舆情,为做好信息发布工作提供科学的分析方法和应对手段。

关键词: 信息公开, 网络舆情, 情感分析, 主题分析, 危机传播

Abstract:

[Purpose/significance] In the era of post-microblog, microblog still plays an important role in emergency because of information publication and opinion spreading. [Method/process] This paper aims to explore how the government acts for public opinion and to release news. In the theoretical level, this paper aims to study the effect of news release. In the practical level, taking Sina Microblog related information in Tianjin Explosion as an example, it builds a domain vocabulary for crisis communication based on the crisis communication knowledge and news release text, and conducts sentiment analysis and subject analysis on the full quantity data of Tianjin Explosion. [Result/conclusion] The result of this paper reveals the characteristics of network public opinion in crisis communication; meanwhile, the result also provides a scientific method of news releases for the government.

Key words: crisis communication, news release, public opinion online, sentiment analysis, subject analysis

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