Text summarization with harmony search algorithm-based sentence extraction

Ehsan Shareghi, Leila Sharif Hassanabadi

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

24 Citations (Scopus)

Abstract

Currently vast amounts of textual information exist in large repositories such as Web. To processes such a huge amount of information, automatic text summarization has been of great interests. Unlike many approaches which focus on sentence or paragraph extraction, in this research, we introduce a method to make extractions based on three factors of Readability, Cohesion and Topic relation. We use Harmony Search-based sentence selection to make such a summary. Once the summary is created, it is evaluated using a fitness function based on those three factors. The evaluation of the algorithm on a test collection is also presented in the paper. Our results indicate that the extracted summaries by our proposed scheme have better precision and recall than the other approaches.

Original languageEnglish
Title of host publication5th International Conference on Soft Computing as Transdisciplinary Science and Technology, CSTST '08 - Proceedings
Pages226-231
Number of pages6
DOIs
Publication statusPublished - 1 Dec 2008
Externally publishedYes
Event5th International Conference on Soft Computing As Transdisciplinary Science and Technology, CSTST '08 - Cergy-Pontoise, France
Duration: 28 Oct 200831 Oct 2008

Conference

Conference5th International Conference on Soft Computing As Transdisciplinary Science and Technology, CSTST '08
CountryFrance
CityCergy-Pontoise
Period28/10/0831/10/08

Keywords

  • Automatic text summarization
  • Evolutionary algorithm
  • Harmony search algorithm
  • Sentence extraction

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