Term-weighting approaches in automatic text retrieval
Information Processing and Management: an International Journal
The nature of statistical learning theory
The nature of statistical learning theory
Authoritative sources in a hyperlinked environment
Journal of the ACM (JACM)
A vector space model for automatic indexing
Communications of the ACM
Neural Networks and Pattern Recognition
Neural Networks and Pattern Recognition
Introduction to Modern Information Retrieval
Introduction to Modern Information Retrieval
Support Vector Machines: Training and Applications
Support Vector Machines: Training and Applications
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Web forums and online communities are becoming increasingly important information sources. While there are significant research works on classification of Web pages, relatively less is known on classification of online discussions. By observing the special nature of user participation in web communities, we propose classification methods based on user participation and text content of online discussions. Support vector machines have been employed in this study to classify and analyze discussions based on content and participation. It is found that the accuracy of using participation as classification features can be very high in certain communities. The use of high-dimensional classifier can be effective in enhancing retrieval and classification of online discussion topics.