Methods for Mining and Summarizing Text Conversations

Dr. Giuseppe Carenini is an associate professor in computer science at UBC, with broad interdisciplinary interests. His work on combining natural language processing and information visualization to support decision making has been published in over 70 peer-reviewed papers. Dr. Carenini was the area chair for “Sentiment Analysis, Opinion Mining, and Text Classification” of ACL 2009 and he is currently co-editing an ACM TIST Special Issue on Intelligent Visual Interfaces for Text Analysis. In his work, Dr. Carenini has also extensively collaborated with industrial part[1]ners, including Microsoft and IBM. Dr. Gabriel Murray is a researcher in computer science at UBC, in the Laboratory for Computational Intelligence. His back[1]ground is in natural language processing as well as theoretical linguistics. He has an established research record in the area of automatic summarization, with particular attention to summarization of noisy genres such as speech and web data, and comparison of abstractive and extractive techniques. He did his graduate studies at the University of Edinburgh under Dr. Steve Renals, and was a member of the EU-funded AMI project on studying multi[1]modal interaction. He is currently a researcher with the NSERC Business Intelligence Network on intelligent data management and decision making. Dr. Raymond Ng is a professor in computer science at UBC. He is internationally renowned for his data mining studies. He has published over 100 journal and conference papers covering a broad range of topics in informatics, data mining and databases. He has won Best Paper awards from the ACM SIGKDD conference on data mining and the ACM SIGMOD conference on database management. For the past few years, Dr. Ng has been one of the editors of two top database journals worldwide—the VLDB Journal and the IEEE Transactions on Knowledge and Data Engineering. He was the general chair of ACM SIGMOD 2008 and the program chair of IEEE ICDE 2009.

• Introduction.- Background: Corpora and Evaluation Methods.- Mining Text Conversations.- Summarizing Text Conversations.- Conclusions.- Final Thoughts.