Machine learning for Arabic text categorization

Author:

Duwairi Rehab M.

Publisher

Wiley

Subject

Artificial Intelligence,Computer Networks and Communications,Human-Computer Interaction,Information Systems,Software

Reference22 articles.

1. (2003, December). Machine learning approach for automatic text categorization. Paper presented at the International Arab Conference on Information Technology (ACIT'2003), Alexandria, Egypt.

2. & (1998, August). A computational morphology system for Arabic. Paper presented at the Workshop in Semitic Language Processing, COLING-ACL'98, University of Montreal, Montreal, Canada.

3. , & (2003, December). New approach for extracting Arabic roots. Paper presented at the International Arab Conference on Information Technology (ACIT'2003), Alexandria, Egypt.

4. , , & (1998). Inductive learning algorithms and representations for text categorization. Paper presented at the Seventh ACM International Conference on Information and Knowledge Management (pp. 148–155).

5. , & (2004, August). Automatic Arabic documents categorization based on the naive Bayes algorithm. Paper presented at the Workshop on Computational Approaches to Arabic Script-Based Languages (COLING-2004), University of Geneva, Geneva, Switzerland.

Cited by 26 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Automatic Era Identification in Classical Arabic Poetry;Applied Sciences;2024-09-12

2. Enhancing Classification of Low-Quality Text Documents through Multimodal Approach;2023 IEEE International Workshop on Mechatronic Systems Supervision (IW_MSS);2023-11-02

3. Utilizing Artificial Bee Colony Algorithm as Feature Selection Method in Arabic Text Classification;The International Arab Journal of Information Technology;2023

4. A Review Study on Arabic Text Classification;2022 International Arab Conference on Information Technology (ACIT);2022-11-22

5. Hybrid Feature Selection Based on Principal Component Analysis and Grey Wolf Optimizer Algorithm for Arabic News Article Classification;IEEE Access;2022

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3