Temporal Text Mining

Matthew Hurst

Text mining often involves the extraction of keywords with respect to some measure of importance. Weblog data is textual content with a clear and significant temporal aspect. Concepts in this data, therefore, can be described temporally in terms of the patterns present in their time series. This paper describes a system which uses models of time series to rank keywords from a corpus of weblog posts.


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