research-article

Arabic Opinion Mining Using Machine Learning Techniques: Algerian Dialect as a Case of Study

Authors:

Abdelkader Laouid,

Ahcene Bounceur,

Omar AldabbasAuthors Info & Claims

ICFNDS '22: Proceedings of the 6th International Conference on Future Networks & Distributed Systems

Pages 87 - 92

https://doi.org/10.1145/3584202.3584216

Published: 09 May 2023 Publication History

Abstract

Social networking services such as Facebook, Twitter, and YouTube are fertile ground for analyzing texts, extracting opinions, and identifying feelings, due to a large number of texts and their diversity in all areas of life. In this manuscript, we apply four algorithms to classify tweets written in the Algerian dialect. To extract feelings, we used six features based on three polarities. In the presented work, we manually annotate a corpus of 2,891 texts and create an Algerian lexicon of idioms that contains 1328 annotated words. Our results show that there are improvements gained in the accuracy of the system, where we have achieved a better accuracy of 85.31.

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Cited By

Righi TMeftah MLaouid AAl-Khalidi MKara M(2024)An intelligent agriculture monitoring framework for leaf disease detection using YOLOv7STUDIES IN ENGINEERING AND EXACT SCIENCES10.54021/seesv5n2-5165:2(e10498)Online publication date: 12-Nov-2024
https://doi.org/10.54021/seesv5n2-516
Adel BEddine Meftah MLaouid AChait KKara M(2024)Using Transformers to Classify Arabic Dialects on Social Networks2024 6th International Conference on Pattern Analysis and Intelligent Systems (PAIS)10.1109/PAIS62114.2024.10541289(1-7)Online publication date: 24-Apr-2024
https://doi.org/10.1109/PAIS62114.2024.10541289

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Arabic Opinion Mining Using Machine Learning Techniques: Algerian Dialect as a Case of Study

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ICFNDS '22: Proceedings of the 6th International Conference on Future Networks & Distributed Systems

December 2022

734 pages

ISBN:9781450399050

DOI:10.1145/3584202

Copyright © 2022 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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Published: 09 May 2023

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ICFNDS '22

ICFNDS '22: The 6th International Conference on Future Networks & Distributed Systems

December 15, 2022

TAS, Tashkent, Uzbekistan

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Cited By

Righi TMeftah MLaouid AAl-Khalidi MKara M(2024)An intelligent agriculture monitoring framework for leaf disease detection using YOLOv7STUDIES IN ENGINEERING AND EXACT SCIENCES10.54021/seesv5n2-5165:2(e10498)Online publication date: 12-Nov-2024
https://doi.org/10.54021/seesv5n2-516
Adel BEddine Meftah MLaouid AChait KKara M(2024)Using Transformers to Classify Arabic Dialects on Social Networks2024 6th International Conference on Pattern Analysis and Intelligent Systems (PAIS)10.1109/PAIS62114.2024.10541289(1-7)Online publication date: 24-Apr-2024
https://doi.org/10.1109/PAIS62114.2024.10541289

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