Effects of term weighting approach with and without stop words removing on Arabic text classification-Reference-Cited by-同舟云学术

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Effects of term weighting approach with and without stop words removing on Arabic text classification

Published:2023-10-05 Issue: Volume: Page:
ISSN:
Container-title:2023 9th International Conference on Optimization and Applications (ICOA)
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Author:

Alhenawi Esra’a¹,Khurma Ruba Abu²,Castillo Pedro A.³,Arenas Maribel G.³,Al-Hinawi Ayat Mahmoud⁴

Affiliation:

1. Al-Ahliyya Amman University,Faculty of Information Technology,Department of Software Engineering,Amman,Jordan

2. Middle East University,MEU Research Unit, Faculty of Information Technology,Department of Computer Science,Amman,Jordan,11831

3. University of Granada,Granada,Spain

4. Hashemite University,Department of Allied Engineering Sciences,Zarqa,Jordan

Funder

Fujitsu

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10308776/10308777/10308816.pdf?arnumber=10308816

Reference11 articles.

1. Text classification in Asian languages without word segmentation

2. Hierarchical neural networks for text categorization;ruiz;In Proceedings of the 22nd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval,1999

3. Stemming Versus Light Stemming as Feature Selection Techniques for Arabic Text Categorization

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