Topic Detection Approaches in Identifying Topics and Events from Arabic Corpora
Author's Department
Computer Science & Engineering Department
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https://doi.org/10.1016/j.procs.2018.10.492
Document Type
Research Article
Publication Title
Procedia Computer Science
Publication Date
1-1-2018
doi
10.1016/j.procs.2018.10.492
Abstract
© 2018 The Authors. Published by Elsevier B.V. How can we know what is going on in the world with a click of a button? With the increase of digital data everywhere, it is becoming difficult to categorize and retrieve information from such huge data. Topic detection is considered a powerful way to mine data and relate similar documents together. Although the Arabic content on the web is increasing every day, the application of topic detection on Arabic text is not up to this increase. In this paper we are investigating famous topic detection techniques, and latest significant scholarly articles related to topic detection in general and in the Arabic domain in specific. This survey paper will help researchers interested in the domain of topic detection to be familiar with commonly used techniques and updated with the latest technologies in this area.
First Page
270
Last Page
277
Recommended Citation
APA Citation
Rafea, A.
&
Gaballah, N. A.
(2018). Topic Detection Approaches in Identifying Topics and Events from Arabic Corpora. Procedia Computer Science, 142, 270–277.
10.1016/j.procs.2018.10.492
https://fount.aucegypt.edu/faculty_journal_articles/1165
MLA Citation
Rafea, Ahmed, et al.
"Topic Detection Approaches in Identifying Topics and Events from Arabic Corpora." Procedia Computer Science, vol. 142, 2018, pp. 270–277.
https://fount.aucegypt.edu/faculty_journal_articles/1165