Topic structure modeling

descriptionPublicationkeyboard_double_arrow_right Article , Conference object 01 Jan 2002Publisher:ACMJournal:Proceedings of the 25th annual international ACM SIGIR conference on Research and development in information retrieval

Authors: David A. Evans 0001; James G. Shanahan; Victor Sheftel;

doi: 10.1145/564376.564472 , 10.1145/564437.564472

Topic structure modeling

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Abstract

In this paper, we present a method based on document probes to quantify and diagnose topic structure, distinguishing topics as monolithic, structured, or diffuse. The method also yields a structure analysis that can be used directly to optimize filter (classifier) creation. Preliminary results illustrate the predictive value of the approach on TREC/Reuters-96 topics.

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