Turkish keyphrase extraction using KEA
Date
2007-11Source Title
22nd International Symposium on Computer and Information Sciences, ISCIS 2007 - Proceedings
Publisher
IEEE
Pages
193 - 197
Language
English
Type
Conference PaperItem Usage Stats
241
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372
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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.
Keywords
CommunicationCybernetics
Information management
Information science
Information theory
Metadata
Digital Documents
International symposium
Keyphrase extraction
Semantic metadata
Turkish
Feature extraction