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Deep learning in Arabic sentiment analysis: An overview

机译:在阿拉伯语情绪分析中深入学习:概述

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摘要

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.
机译:由于在线发布的审查和建议的指数增加,情感分析成为学术和工业领域的一个非常激励的区域。为解决分析和分类这些审查和建议的问题,已经提出了几种技术。最近,深度神经网络在情感分析中表现出有希望的结果。互联网上越来越多的阿拉伯用户以及发表的阿拉伯语审查和评论的增加,鼓励研究人员应用深入学习来分析它们。本文是研究工作的全面概述,利用阿拉伯语情绪分析的深度学习方法。

著录项

  • 来源
    《Journal of Information Science》 |2021年第1期|129-140|共12页
  • 作者单位

    Information Technology Department King Abdulaziz University Kingdom of Saudi Arabia;

    Information Technology Department King Abdulaziz University Kingdom of Saudi Arabia;

    Information Technology Department King Abdulaziz University Kingdom of Saudi Arabia;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Arabic text; deep learning; sentiment analysis;

    机译:阿拉伯文书籍;深度学习;情绪分析;

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