Performance Evaluation of Indexing Method for Text Contents

Kayo IKEDA; Hideho NUMATA; Takahiko KAMAE; Noboru SONEHARA

doi:10.11371/aiieej.34.0.103.0

Media Computing Conference 2006 - Proceedings of the 34th Annual Conference of the Institute of Image Electronics Engineers of Japan 2006 -

Session ID : 06-49

DOI https://doi.org/10.11371/aiieej.34.0.103.0

Conference information

Host: The Institute of Image Electronics Engineers of Japan

Co-host: Toho University, Tokyo Denki University, Chiba Institute of Technology, Information Processing Society of Japan

17:00-18:00 Chair: Takashi SATO, NTT Corp.

Performance Evaluation of Indexing Method for Text Contents

*Kayo IKEDA, Hideho NUMATA, Takahiko KAMAE, Noboru SONEHARA

Author information

Keywords: digital document, automatic keyword extraction, indexing, character sequence, automatic indexing

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Abstract

This paper evaluates the effectivity of the automatic keywords extraction for the digital documents such as the digital books. The metadata is important when the content is distributed on the Internet. And, a lot of ways of the automatic keywords extraction to search a digital document were investigated. However, we think that most of the keywords extraction techniques aren't always practical. Because, in those techniques, the maintenance of the dictionary is necessary and most of the extracted keywords are noun phrases. This research group is proposing the practical way of the indexing and we verify the utility.

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