Message retrieval and classification from chatroom servers using bayesian networks

Publisher:
Springer
Publication Type:
Conference Proceeding
Citation:
IFIP IIP 2006, 2006, pp. 569 - 574
Issue Date:
2006-01
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Chat rooms and newsgroup on the internet is a valuable, and often free of charge, source of information. In this paper, a design of smart chat room bots that automatically retrieve and filter on line messages is proposed. The design is based on internet technology and Bayesian Networks. Technical details of connecting to and retrieving data from web based chat room servers are presented. A Naive Bayesian network classifier is implemented using frequency of the keywords that mostly appear in the selecting messages as input features. A prototype of such a message classification system has been implemented. It has been trialed on detecting investment related messages from four Australian chat room sites.
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