Turkish keyphrase extraction using KEA

Files

Turkish keyphrase extraction using KEA.pdf (94.01 KB)

Date

2007-11

Authors

Editor(s)

Advisor

Supervisor

Co-Advisor

Co-Supervisor

Instructor

Source Title

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

Print ISSN

Electronic ISSN

Publisher

IEEE

Volume

Issue

Pages

193 - 197

Language

English

Type

Conference Paper

Journal Title

Journal ISSN

Volume Title

Citation Stats
Attention Stats
Usage Stats
2
views
26
downloads

Series

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.

Course

Other identifiers

Book Title

Keywords

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

Degree Discipline

Degree Level

Degree Name

Citation

Permalink

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

Published Version (Please cite this version)

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

Collections

Scholarly Publications - Computer Engineering