DocumentCode
3055641
Title
Turkish keyphrase extraction using KEA
Author
Pala, Nagehan ; Cicekli, Ilyas
Author_Institution
Bilkent Univ., Ankara
fYear
2007
fDate
7-9 Nov. 2007
Firstpage
1
Lastpage
5
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.
Keywords
information retrieval; natural language processing; text analysis; Turkish keyphrase extraction; digital documents; document summarization; keyphrase extraction algorithm; semantic metadata; Artificial intelligence; Data mining; Frequency; Indexing; Internet; Machine learning; Machine learning algorithms; Supervised learning; Testing; Training data;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer and information sciences, 2007. iscis 2007. 22nd international symposium on
Conference_Location
Ankara
Print_ISBN
978-1-4244-1363-8
Electronic_ISBN
978-1-4244-1364-5
Type
conf
DOI
10.1109/ISCIS.2007.4456860
Filename
4456860
Link To Document