Text clustering for topic detection

@inproceedings{Seo2004TextCF,
  title={Text clustering for topic detection},
  author={Young-Woo Seo and Katia P. Sycara},
  year={2004}
}
Abstract : The world wide web represents vast stores of information. However, the sheer amount of such information makes it practically impossible for any human user to be aware of much of it. Therefore, it would be very helpful to have a system that automatically discovers relevant, yet previously unknown information, and reports it to users in human-readable form. As the first attempt to accomplish such a goal, we proposed a new clustering algorithm and compared it with existing clustering… 

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