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Author Leuski, Anton
Source CiteSeerX
Content type Text
Publisher ACM Press
File Format PDF
Language English
Subject Domain (in DDC) Computer science, information & general works ♦ Data processing & computer science
Subject Keyword Textual Information ♦ Experimental Task ♦ Various Life Event ♦ Important Part ♦ Massive Online Collaborative Environment ♦ Language Model ♦ Human Activity ♦ Online Virtual World ♦ Statistical Language Modeling ♦ Rich Data Source ♦ Exchange Message
Description We are interested in the problem of understanding the connections between human activities and the content of textual information generated in regard to those activities. Firstly, we define and motivate this problem as an important part in making sense of various life events. Secondly, we introduce the domain of massive online collaborative environments, specifically online virtual worlds, where people meet, exchange messages, and perform actions as a rich data source for such an analysis. Finally, we outline three experimental tasks and show how statistical language modeling and text clustering techniques may allow us to explore those connections successfully.
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research
Education Level UG and PG ♦ Career/Technical Study
Learning Resource Type Article
Publisher Date 2006-01-01
Publisher Institution In CIKM '06: Proceedings of the 15th ACM international conference on Information and knowledge management