Proceedings:
Computational Approaches to Analyzing Weblogs
Volume
Issue:
Papers from the 2006 AAAI Spring Symposium
Track:
Contents
Downloads:
Abstract:
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.
Spring
Papers from the 2006 AAAI Spring Symposium