摘要
微博客是一种新兴的网络信息交互平台,近年来受到越来越多的用户的关注。信息的简洁性以及传播渠道的多样性使得微博客成为广大网民浏览热点事件相关信息和发表个人观点的重要途径。分析和监测微博客内容中所包含的情感信息,能够了解民众对特定热点事件的关注程度和情感变化,从而辅助评估和掌握事件的发展状况。因此,提出一种面向微博客的热点事件情感分析方法,该方法首先自动挖掘用户对某热点事件的多个关注点,并针对不同关注点进行情感分析以及情感趋势监测,最终实现一个可视化的热点事件情感趋势分析原型系统。通过实例验证了微博客信息在网络热点事件的情感分析和监测中的有效性。
Micro-blogging,as a new form of social communication,is attracting more and more attention during the last few years.Simplicity of information and diversity of communication modes in micro-blogging make it an important channel of seeking information about hot events and expressing personal views.By analyzing and monitoring sentiment information in micro-blogging posts,we have opportunities to gain insights into users’ emotion trend on hot events,which can help us evaluate and grasp the current situation of hot events.Therefore,we proposed a hot event sentiment analysis method in micro-blogging.This method first automatically detects different aspects of an event from the user perspective,and then performs sentiment analysis and emotional monitoring on each aspect.Additionally,we built a novel hot event sentiment analysis prototype system.The experimental results show that micro-blogging is effective in monitoring hot events on World Wide Web.
出处
《计算机科学》
CSCD
北大核心
2012年第B06期226-228,260,共4页
Computer Science
基金
国家重点基础研究发展计划(973)(2007CB311007)
北京市自然科学基金(4112062)资助
关键词
微博客
热点事件
情感挖掘
情感趋势监测
Micro-blogging； Hot events； Sentiment mining； Emotional trend detection
