Deep learning in Arabic sentiment analysis: An overview

Author:

Alharbi Amal1ORCID,Taileb Mounira1ORCID,Kalkatawi Manal1

Affiliation:

1. Information Technology Department, King Abdulaziz University, Kingdom of Saudi Arabia

Abstract

Sentiment analysis became a very motivating area in both academic and industrial fields due to the exponential increase of the online published reviews and recommendations. To solve the problem of analysing and classifying those reviews and recommendations, several techniques have been proposed. Lately, deep neural networks showed promising outcomes in sentiment analysis. The growing number of Arab users on the Internet along with the increasing amount of published Arabic reviews and comments encouraged researchers to apply deep learning to analyse them. This article is a comprehensive overview of research works that utilised the deep learning approach for Arabic sentiment analysis.

Funder

King Abdulaziz University

Publisher

SAGE Publications

Subject

Library and Information Sciences,Information Systems

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4. Improving Arabic Sentiment Analysis Using LSTM Based on Word Embedding Models;Vietnam Journal of Computer Science;2023-07-12

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