Arabic text classification: the need for multi-labeling systems-Reference-Cited by-同舟云学术

Arabic text classification: the need for multi-labeling systems

Published:2021-09-01 Issue:2 Volume:34 Page:1135-1159
ISSN:0941-0643
Container-title:Neural Computing and Applications
language:en
Short-container-title:Neural Comput & Applic

Author:

El Rifai Hozayfa,Al Qadi Leen,Elnagar Ashraf^ORCID

Funder

University of Sharjah

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Software

Link

https://link.springer.com/content/pdf/10.1007/s00521-021-06390-z.pdf

Reference44 articles.

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3. Al-Harbi S, Almuhareb A, Al-Thubaity A, Khorsheed M, Al-Rajeh A (2008) Automatic arabic text classification. In: Proceedings of the 9th international conference on the statistical analysis of textual data, pp 12–14

4. Al Qadi L, El Rifai H, Obaid S, Elnagar A (2019) Arabic text classification of news articles using classical supervised classifiers. In: 2019 2nd International conference on new trends in computing sciences (ICTCS), pp 1–6

5. Al Qadi L, El Rifai H, Obaid S, Elnagar A (2020) A scalable shallow learning approach for tagging arabic news articles. Jordanian J Comput Inform Technol 6(3):263–280

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