Turkish keyphrase extraction using KEA

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Turkish keyphrase extraction using KEA.pdf (94.01 KB)

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2007-11

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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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22nd International Symposium on Computer and Information Sciences, ISCIS 2007 - Proceedings

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IEEE

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Communication, Cybernetics, Information management, Information science, Information theory, Metadata, Digital Documents, International symposium, Keyphrase extraction, Semantic metadata, Turkish, Feature extraction

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http://hdl.handle.net/11693/26948

Published Version (Please cite this version)

http://dx.doi.org/10.1109/ISCIS.2007.4456860

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Scholarly Publications - Computer Engineering

Language

English

Type

Conference Paper