基于主体个性化的微博情感分析关键技术研究

项目名称： 基于主体个性化的微博情感分析关键技术研究

项目编号： No.61272362

项目类型： 面上项目

立项/批准年度： 2013

项目学科： 自动化技术、计算机技术

项目作者： 张华平

作者单位： 北京理工大学

项目金额： 84万元

中文摘要： 随着新型互联网应用的迅猛发展，微博快速崛起，用户数达到2.5亿，使用率达到48.7%，每天数以千万人通过微博分享自己对各类话题的观点与情感，如何自动感知微博主体的情感，并从宏观上科学研判微博社区对特定话题的观点倾向性，已经成为微博计算与舆情分析亟待解决的基本科学问题。微博内容的碎片化与主体化特征日益凸显，传统的情感分析算法存在本质缺陷，效率低下且效果很难满足实际需求。本课题旨在研究基于主体个性化的微博情感分析算法，主要包括：结合微博主体个性化特征，研究单条微博内容的情感分析算法；根据微博的情感波动变化，研究微博博主的情绪感知方法；针对特定话题，研究大众的情感综合研判技术；在理论研究的基础上进行算法的实践验证。本课题的主要创新体现在对短小而不规范的微博内容进行情感分析过程中，引入微博主体的个性化特征，参考博主对特定主题的历史态度，从而提高对微博内容情感分析的客观性与针对性。

中文关键词： 情感分析；主体个性化；微博计算；观点挖掘；情感综合

英文摘要： With the rapid development of newly Internet social applications, microblogs have been widely applied in 250 million users and its utilization ratio in 2011 is 48.7%. Every day, millions of users share their opinion and sentiment on different topics. Automatically analyzing the user's sentimental trends and scientifically determining the tendency of the whole microblog community under a certain topic, have become the basic scientific problem on the domain of microblog computation and public sentimental analysis. Under the situation that the contents of microblog are becoming much more scattered and personalized, traditional sentimental analysis algorithm cannot work well and meet the practical requirement as its essential defect and inefficiency. This research aims on building a personality based microblog sentimental analysis algorithm, which can analyze a single tweet sentiment with its contents and the user's personal background, modelling on the sentimental characteristic of a microblog user by referencing his historical sentimental results, making sentimental summarization on a given topic and determine the whole opinion of different communities, and then making the verification based on the above research. The contribution of this research is proposing the users' personality characteristics and historical

英文关键词： sentiment analysis；user personalization；microblogs computing；opinion mining；sentiment summary