PAI: Automatic indexing for extracting asserted keywords from a document

Naohiro Matsumura*, Yukio Ohsawa, Mitsuru Ishizuka

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

4 Citations (Scopus)

Abstract

This paper proposes an automatic indexing method named PAI (Priming Activation Indexing) that extracts keywords expressing the author's main point from a document based on the priming effect. The basic idea is that since the author writes a document emphasizing his/her main point, impressive terms born in the mind of the reader could represent the asserted keywords. Our approach employs a spreading activation model without using corpus, thesaurus, syntactic analysis, dependency relations between terms or any other knowledge except for stop-word list. Experimental evaluations are reported by applying PAI to journal/conference papers.

Original languageEnglish
Pages (from-to)37-47
Number of pages11
JournalNew Generation Computing
Volume21
Issue number1
Publication statusPublished - 2003
Externally publishedYes

Keywords

  • Asserted keyword
  • Automatic indexing
  • PAI
  • Priming effect
  • Spreading activation

ASJC Scopus subject areas

  • Hardware and Architecture
  • Theoretical Computer Science
  • Computational Theory and Mathematics

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