Supervised HDP using prior knowledge

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

End users can find topic model results difficult to interpret and evaluate. To address user needs, we present a semi-supervised hierarchical Dirichlet process for topic modeling that incorporates user-defined prior knowledge. Applied to a large electronic dataset, the generated topics are more fine-grained, more distinct, and align better with users' assignments of topics to documents.

Original languageEnglish (US)
Title of host publicationNatural Language Processing and Information Systems - 17th International Conference on Applications of Natural Language to Information Systems, NLDB 2012, Proceedings
Pages197-202
Number of pages6
DOIs
StatePublished - Jul 24 2012
Event17th International Conference on Applications of Natural Language to Information Systems, NLDB 2012 - Groningen, Netherlands
Duration: Jun 26 2012Jun 28 2012

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume7337 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other17th International Conference on Applications of Natural Language to Information Systems, NLDB 2012
CountryNetherlands
CityGroningen
Period6/26/126/28/12

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

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