Turkish keyphrase extraction using KEA

Date
2007-11
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Source Title
22nd International Symposium on Computer and Information Sciences, ISCIS 2007 - Proceedings
Print ISSN
Electronic ISSN
Publisher
IEEE
Volume
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Pages
193 - 197
Language
English
Type
Conference Paper
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Abstract

Keyphrases provide semantic metadata to summarize and characterize documents. Unfortunately, there are many digital documents especially on the Internet that do not have a list of assigned keyphrases. Assigning keyphrases to these documents manually is a tedious process and requires knowledge of the subject. Automatic Keyphrase Extraction solves this problem. In this paper, we present implementation of Keyphrase Extraction Algorithm (KEA) for Turkish as well as extending it with new features to improve its performance. ©2007 IEEE.

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Keywords
Communication, Cybernetics, Information management, Information science, Information theory, Metadata, Digital Documents, International symposium, Keyphrase extraction, Semantic metadata, Turkish, Feature extraction
Citation
Published Version (Please cite this version)