Minority opinions abstraction

摘要：

To deal with the multi-granularity web documents, we propose EMTF (EM Topic Fusion) algorithm to rank the by-joint possibility, resulting of their relevance to be the topic and their granularity. We first extract features from the different granularity web documents to establish the quantitative relationship amongst them. Then, the process of multi-granularity web documents analysis that leads to heretofore unknown information and opinions that valuable potential, minority and contentious respectively, which integrates the time, content, reprint and link information. Experiments show that EMTF achieves the best overall performance with high effectiveness and robustness.

关键词： Topic Fusion mufti-granularity unknown information and opinions potential, minority and contentious

作者: Tan Xian Li Fang

作者单位: No,39 Xueyuan Road, Hubei Institute for Nationalities, Enshi, Hubei Province, China

会议类型: 国际会议

会议名称: 2011 6th Joint International Information Technology and Artificial Intelligence Conference(2011年第六届IEEE联合国际信息技术与人工智能会议 IEEE ITAIC 2011)

会议地点: 重庆

会议语种:英文

页码: 430-434

在线出版日期: 2011-08-20（万方平台首次上网日期，不代表论文的发表时间）