香港城市大学信息系统系Raymond LAU学术报告
发布时间: 2013-05-14 03:25:00 浏览次数: 供稿:未知
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演讲人: Raymond Y.K. LAU

讲座时间: 2013年5月16日下午3:00-4:00

讲座地点: 理工配楼四层会议室

讲座内容:

题目:Pseudo Labeling for the Construction of Domain-specific Sentiment Lexicons and Its Financial Applications

Presentation Abstract

Sentiment lexicons have been widely used for sentiment analysis. However manually constructing domain-specific sentiment lexicons is extremely time consuming and it may not even be feasible for domains where linguistic expertise is not available. Research on the automatic construction of domain-specific sentiment lexicons has become a hot topic in recent years. In this presentation, the research work about our semi-supervised learning method which exploits the “distributional characteristic” of sentiments in labeled or unlabeled corpora for the construction of domain-specific sentiment lexicons will be discussed. More specifically, the proposed two-pass “pseudo labeling” algorithm combines shallow linguistic parsing and corpus-base statistical learning to make sentiment lexicon learning scalable with respect to the sheer volume of opinionated documents archived on the Internet these days. As subjectively assessed by human experts, the automatically constructed domain-specific sentiment lexicons are considered to have high quality. Based on an objective polarity prediction task at the document level, it is shown that our domain-specific sentiment lexicons outperform other well-known baseline methods. Finally, the applications of our domain-specific sentiment lexicons to financial prediction tasks are highlighted and the business implications of our research work are discussed.

Short Bibliography of the Speaker

Dr. Raymond Y.K. LAU is an Associate Professor in the Department of Information Systems at City University of Hong Kong. He got PhD in Information Technology from Queensland University of Technology, Australia in 2003. Before joining the academic field, he has worked in the ICT industry with the roles of system analyst and project manager for more than ten years. He is the author of over 100 refereed international journals and conference papers including MISQ, ACM Transactions on Information Systems, Journal of MIS, Computational Intelligence, Decision Support Systems, etc. His research interests include Social Media Analytics, Big Data Analytics, and Information Retrieval. He is the associate editors of ACM Transactions on MIS and the International Journal of Systems and Service-Oriented Engineering. Dr. Lau is a senior member of the IEEE and the ACM, respectively. He is also a life member of the Hong Kong Computer Society.

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