基于网络舆情深度挖掘模式分析
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  • 英文篇名:Analysis on the deep mining mode based on network public opinion
  • 作者:艾克拜尔江·买买提
  • 英文作者:Aikebaier Jiang·Maimaiti;Xinjiang Vocational University;
  • 关键词:网络舆情 ; 深度挖掘 ; 新闻传播
  • 英文关键词:network public opinion;;deep mining;;news communication
  • 中文刊名:WXHK
  • 英文刊名:Wireless Internet Technology
  • 机构:新疆职业大学;
  • 出版日期:2019-01-25
  • 出版单位:无线互联科技
  • 年:2019
  • 期:v.16;No.150
  • 语种:中文;
  • 页:WXHK201902019
  • 页数:3
  • CN:02
  • ISSN:32-1675/TN
  • 分类号:50-52
摘要
伴随着互联网技术的成熟,人们越来越倾向于在网络平台上发表自己的观点。由于特定的公共事件而引发成千上万的网民开展探讨,这种现象已经让我们司空见惯。一方面我们不得不承认网络技术带来的便利和表达自己的机会,另一方面,我们又不得不面对网络舆情存在的隐蔽性、不真实性。近年来,由于网络舆情引发的社会事件也不少,激发了各界各样网络舆情发展控制的关注。有不少传媒人士和研究人员开展了对于网络舆情深度挖掘模式的探讨。通过关注当前网络舆情发展传播模式存在的问题,探索网络舆情深度挖掘模式有利于把握网络舆情形成和走向,减少其对于社会影响的消极影响,文章从现状、意义、未来3个角度对其展开分析。
        With the maturity of Internet technology, people are increasingly inclined to express their opinions on the network platform. Thousands of Internet users have been involved in discussions due to specific public events, and this phenomenon has become commonplace. On the one hand, we have to admit the convenience brought by network technology and the opportunity to express ourselves. On the other hand, we have to face the hidden and unrealistic existence of network public opinion. In recent years, there have been many social incidents caused by the Internet sensation, which has stimulated the attention of all kinds of network public opinion development control. A number of media personnel and researchers have conducted a discussion on the deep mining model of online public opinion. By paying attention to the problems existing in the current network public opinion communication mode, exploring the network public opinion deep mining mode is conducive to grasping the formation and trend of network public opinion and reducing its negative impact on social impact. This paper analyzes it from the current situation, significance and the future.
引文
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