Paper: Searching For Topics In A Large Collection Of Texts

ACL ID P04-2003
Title Searching For Topics In A Large Collection Of Texts
Venue Annual Meeting of the Association of Computational Linguistics
Session Main Conference
Year 2004
Authors

We describe an original method that automatically finds specific topics in a large collection of texts. Each topic is first identified as a specific cluster of texts and then represented as a virtual concept, which is a weighted mixture of words. Our intention is to employ these virtual concepts in document indexing. In this paper we show some preliminary experimental results and discuss direc- tions of future work.