Automated Sentiment Analysis of Online News on China Issues in Western Mainstream Media
Drawing on studies in media discourse analysis and advances in natural language processing, data mining and information access, a framework for automated sentiment analysis of news report from Western mainstream media is proposed and a preliminary experiment is reported in this paper. The automated sentiment analysis system architecture comprises (1) the identification of Chinese-English equivalent query expressions; (2) the construction of domain and linguistic knowledge bases; (3) the recovery of news events; and (4) the sentiment analysis over news texts. The workflow consists of two phases, i.e. an offline construction of resources, such as comparable or parallel corpora and domain knowledge bases, which are utilized in realtime processing, and an online analysis of news texts by means of machine learning and data mining techniques. The proposed methodology leads to a quick response to different information gathered from overseas media and an efficient decision-making procedure for egovernment.
Sentiment Analysis Western Maintream Media China Issues E-government
Wenxin XIONG Jiajin XU Maocheng LIANG
National Research Center for Foreign Language Education Beijing Foreign Studies University Beiiins 100089. China
国际会议
海口
英文
534-538
2011-07-15（万方平台首次上网日期，不代表论文的发表时间）