Event detection with spatial latent Dirichlet allocation

Chi Chun Pan, Prasenjit Mitra

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

34 Scopus citations

Abstract

A large number of news articles are generated every day on the Web. Automatically identifying events from a large document collection is a challenging problem. In this paper, we propose two event detection approaches using generative models. We combine the popular LDA model with temporal segmentation and spatial clustering. In addition, we adapt an image segmentation model, SLDA, for spatial-temporal event detection on text. The results of our experiments show that both approaches outperform the traditional content-based clustering approaches on our datasets.

Original languageEnglish (US)
Title of host publicationJCDL'11 - Proceedings of the 2011 ACM/IEEE Joint Conference on Digital Libraries
Pages349-358
Number of pages10
DOIs
StatePublished - Jul 25 2011
Event11th Annual International ACM/IEEE Joint Conference on Digital Libraries, JCDL'11 - Ottawa, ON, Canada
Duration: Jun 13 2011Jun 17 2011

Publication series

NameProceedings of the ACM/IEEE Joint Conference on Digital Libraries
ISSN (Print)1552-5996

Other

Other11th Annual International ACM/IEEE Joint Conference on Digital Libraries, JCDL'11
CountryCanada
CityOttawa, ON
Period6/13/116/17/11

All Science Journal Classification (ASJC) codes

  • Engineering(all)

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