An efficient single document Arabic text summarization using a combination of statistical and semantic features

The exponential growth of online textual data triggered the crucial need for an effective and powerful tool that automatically provides the desired content in a summarized form while preserving core information. In this paper, we propose an automatic, generic, and extractive Arabic single document s...

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Bibliographic Details
Main Authors: Aziz Qaroush, Ibrahim Abu Farha, Wasel Ghanem, Mahdi Washaha, Eman Maali
Format: Article
Language:English
Published: Elsevier 2021-07-01
Series:Journal of King Saud University: Computer and Information Sciences
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S1319157818310498