Enhanced clustering-based topic identification of transcribed Arabic broadcast news
Joint Authors
Jafar, Ahmad
Faruq, Muhammad
Fakhr, Muhammad
Source
The International Arab Journal of Information Technology
Issue
Vol. 14, Issue 5 (30 Sep. 2017)8 p.
Publisher
Publication Date
2017-09-30
Country of Publication
Jordan
No. of Pages
8
Main Subjects
Information Technology and Computer Science
Abstract EN
This research presents an enhanced topic identification of transcribed Arabic broadcast news using clustering techniques.
The enhancement includes applying new stemming technique “rule-based light stemming” to balance the negative effects of the stemming errors associated with light stemming and root-based stemming.
New possibilistic-based clustering technique is also applied to evaluate the degree of membership that every transcribed document has in regard to every predefined topic, hence detecting documents causing topic confusions that negatively affect the accuracy of the topicclustering process.
The evaluation has showed that using rule-based light stemming in combination of spectral clustering technique achieved the highest accuracy, and this accuracy is further increased after excluding confusing documents.
American Psychological Association (APA)
Jafar, Ahmad& Fakhr, Muhammad& Faruq, Muhammad. 2017. Enhanced clustering-based topic identification of transcribed Arabic broadcast news. The International Arab Journal of Information Technology،Vol. 14, no. 5.
https://search.emarefa.net/detail/BIM-852259
Modern Language Association (MLA)
Jafar, Ahmad…[et al.]. Enhanced clustering-based topic identification of transcribed Arabic broadcast news. The International Arab Journal of Information Technology Vol. 14, no. 5 (Sep. 2017).
https://search.emarefa.net/detail/BIM-852259
American Medical Association (AMA)
Jafar, Ahmad& Fakhr, Muhammad& Faruq, Muhammad. Enhanced clustering-based topic identification of transcribed Arabic broadcast news. The International Arab Journal of Information Technology. 2017. Vol. 14, no. 5.
https://search.emarefa.net/detail/BIM-852259
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-852259