標題: Deriving market intelligence from microblogs
作者: Li, Yung-Ming
Li, Tsung-Ying
資訊管理與財務金融系 註:原資管所+財金所
Department of Information Management and Finance
關鍵字: Social media;Microblog;Market trends;Sentiment classification;Credibility assessment;Opinion classification
公開日期: 1-四月-2013
摘要: Given their rapidly growing popularity, microblogs have become great sources of consumer opinions. However, in the face of unique properties and the massive volume of posts on microblogs, this paper proposes a framework that provides a compact numeric summarization of opinions on such platforms. The proposed framework is designed to cope with the following tasks: trendy topics detection, opinion classification, credibility assessment, and numeric summarization. An experiment is carried out on Twitter, the largest microblog website, to prove the effectiveness of the proposed framework. We find that the consideration of user credibility and opinion subjectivity is essential for aggregating microblog opinions. The proposed mechanism can effectively discover market intelligence (MI) for supporting decision-makers. (C) 2013 Elsevier B.V. All rights reserved.
URI: http://dx.doi.org/10.1016/j.dss.2013.01.023
http://hdl.handle.net/11536/22391
ISSN: 0167-9236
DOI: 10.1016/j.dss.2013.01.023
期刊: DECISION SUPPORT SYSTEMS
Volume: 55
Issue: 1
起始頁: 206
結束頁: 217
顯示於類別:期刊論文


文件中的檔案:

  1. 000320493400020.pdf