TextPlorer: An application supporting text analysis

Chi Chun Pan, Anuj R. Jaiswal, Junyan Luo, Anthony C. Robinson

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

2 Scopus citations

Abstract

TexPlorer is an integrated system for exploring and analyzing large amounts of text documents. The data processing modules of TexPlorer consist of named entity extraction, entity relation extraction, hierarchical clustering, and text summarization tools. Using a timeline tool, tree-view, table-view, and concept maps, TexPlorer provides an analytical interface for exploring a set of text documents from different perspectives and allows users to explore vast amount of text documents efficiently.

Original languageEnglish (US)
Title of host publicationVAST IEEE Symposium on Visual Analytics Science and Technology 2007, Proceedings
Pages205-206
Number of pages2
DOIs
Publication statusPublished - Dec 1 2007
EventVAST IEEE Symposium on Visual Analytics Science and Technology 2007 - Sacramento, CA, United States
Duration: Oct 30 2007Nov 1 2007

Publication series

NameVAST IEEE Symposium on Visual Analytics Science and Technology 2007, Proceedings

Other

OtherVAST IEEE Symposium on Visual Analytics Science and Technology 2007
CountryUnited States
CitySacramento, CA
Period10/30/0711/1/07

    Fingerprint

All Science Journal Classification (ASJC) codes

  • Computer Science(all)
  • Computer Science Applications

Cite this

Pan, C. C., Jaiswal, A. R., Luo, J., & Robinson, A. C. (2007). TextPlorer: An application supporting text analysis. In VAST IEEE Symposium on Visual Analytics Science and Technology 2007, Proceedings (pp. 205-206). [4389019] (VAST IEEE Symposium on Visual Analytics Science and Technology 2007, Proceedings). https://doi.org/10.1109/VAST.2007.4389019