Arabic News Text Classification and Summarization: A Case of the Electronic Library Institute SeerQ (ELISQ)

Arabic news articles in heterogeneous electronic collections are difficult for users to work with. Two problems are: that they are not categorized in a way that would aid browsing, and that there are no summaries or detailed metadata records that could be easier to work with than full articles. To a...

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Bibliographic Details
Main Author: Kan'an, Tarek Ghaze
Other Authors: Computer Science
Format: Others
Published: Virginia Tech 2017
Subjects:
Online Access:http://hdl.handle.net/10919/74272