Point placement by phylogenetic trees and its application to visual analysis of document collections

Ana María Cuadros Valdivia, Fernando V. Paulovich, Rosane Minghim, Guilherme P. Telles

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

41 Scopus citations

Abstract

The task of building effective representations to visualize and explore collections with moderate to large number of documents is hard. It depends on the evaluation of some distance measure among texts and also on the representation of such relationships in bidimensional spaces. In this paper we introduce an alternative approach for building visual maps of documents based on their content similarity, through reconstruction of phylogenetic trees. The tree is capable of representing relationships that allows the user to quickly recover information detected by the similarity metric. For a variety of text collections of different natures we show that we can achieve improved exploration capability and more clear visualization of relationships amongst documents.

Original languageEnglish
Title of host publicationVAST IEEE Symposium on Visual Analytics Science and Technology 2007, Proceedings
Pages99-106
Number of pages8
DOIs
StatePublished - 2007
Externally publishedYes
EventVAST IEEE Symposium on Visual Analytics Science and Technology 2007 - Sacramento, CA, United States
Duration: 30 Oct 20071 Nov 2007

Publication series

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

Conference

ConferenceVAST IEEE Symposium on Visual Analytics Science and Technology 2007
Country/TerritoryUnited States
CitySacramento, CA
Period30/10/071/11/07

Keywords

  • Document analysis
  • Document visualization
  • Multidimensional visualization
  • Phylogenetic trees
  • Text analytics

Fingerprint

Dive into the research topics of 'Point placement by phylogenetic trees and its application to visual analysis of document collections'. Together they form a unique fingerprint.

Cite this