Butterfly: a conversation-finding agent for Internet relay chat
IUI '99 Proceedings of the 4th international conference on Intelligent user interfaces
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Topic Identification in Dynamical Text by Complexity Pursuit
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Text Categorization with Suport Vector Machines: Learning with Many Relevant Features
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Variational Extensions to EM and Multinomial PCA
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Mining newsgroups using networks arising from social behavior
WWW '03 Proceedings of the 12th international conference on World Wide Web
Exploring Independent Trends in a Topic-Based Search Engine
WI '04 Proceedings of the 2004 IEEE/WIC/ACM International Conference on Web Intelligence
Applying discrete PCA in data analysis
UAI '04 Proceedings of the 20th conference on Uncertainty in artificial intelligence
Thread detection in dynamic text message streams
SIGIR '06 Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval
Improving the classification of newsgroup messages through social network analysis
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Adaptive e-mail intention finding mechanism based on e-mail words social networks
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A Link-Based Rank of Postings in Newsgroup
MLDM '07 Proceedings of the 5th international conference on Machine Learning and Data Mining in Pattern Recognition
Topic Detection and Tracking for Threaded Discussion Communities
WI-IAT '08 Proceedings of the 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Volume 01
An Energy-Driven Social Behaviour Network Architecture
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Hot Topic Detection on BBS Using Aging Theory
WISM '09 Proceedings of the International Conference on Web Information Systems and Mining
Proceedings of the 2010 ACM Symposium on Applied Computing
Mining chat conversations for sex identification
PAKDD'07 Proceedings of the 2007 international conference on Emerging technologies in knowledge discovery and data mining
Online conversation mining for author characterization and topic identification
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Investigating the statistical properties of user-generated documents
FQAS'11 Proceedings of the 9th international conference on Flexible Query Answering Systems
Social-network analysis using topic models
SIGIR '12 Proceedings of the 35th international ACM SIGIR conference on Research and development in information retrieval
Incorporating popularity in topic models for social network analysis
Proceedings of the 36th international ACM SIGIR conference on Research and development in information retrieval
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Informal chat-room conversations have intrinsically different properties from regular static document collections. Noise, concise expressions and dynamic, changing and interleaving nature of discussions make chat data ill-suited for analysis with an off-the-shelf text mining method. On the other hand, interactive human communication has some implicit features which may be used to enhance the results. In our research we infer social network structures from the chat data by using a few basic heuristics. We then present some preliminary results showing that the inferred social graph may be used to enhance topic identification of a chat room when combined with a state-of-the-art topic and classification models. For validation purposes we then compare the performance effects of using this social information in a topic classification task.