Folksonomy-based term extraction for word cloud generation

David Carmel, Erel Uziel, Ido Guy, Yosi Mass, Haggai Roitman

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

6 Scopus citations

Abstract

In this work we study the task of term extraction for word cloud generation. We present a folksonomy-based term extraction method, called tag-boost, which boosts terms that are frequently used by the public to tag content. Our experiments with tag-boost-based term extraction over different domains demonstrate tremendous improvement in word cloud quality, as reflected by the agreement between extracted terms and manually assigned tags of the testing items. Additionally, we show that tag-boost can be effectively applied even in non-tagged domains, by using an external rich folksonomy borrowed from a well-tagged domain.

Original languageEnglish
Title of host publicationCIKM'11 - Proceedings of the 2011 ACM International Conference on Information and Knowledge Management
Pages2437-2440
Number of pages4
DOIs
StatePublished - 13 Dec 2011
Externally publishedYes
Event20th ACM Conference on Information and Knowledge Management, CIKM'11 - Glasgow, United Kingdom
Duration: 24 Oct 201128 Oct 2011

Publication series

NameInternational Conference on Information and Knowledge Management, Proceedings

Conference

Conference20th ACM Conference on Information and Knowledge Management, CIKM'11
Country/TerritoryUnited Kingdom
CityGlasgow
Period24/10/1128/10/11

Keywords

  • tag-boost
  • term extraction
  • word-cloud generation

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