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Recent Advances in NLP: The Case of Arabic Language

  • Book
  • © 2020

Overview

Editors:
  1. Mohamed Abd Elaziz

    1. Faculty of Science, Mathematics Department, Zagazig University, Zagazig, Egypt

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  2. Mohammed A. A. Al-qaness

    1. School of Computer Science, Wuhan University, Wuhan, China

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  3. Ahmed A. Ewees

    1. Computer Department, Damietta University, Damietta, Egypt

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  4. Abdelghani Dahou

    1. School of Computer Science and Technology, Wuhan University of Technology, Wuhan, China

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  • Focuses on developing and improving deep learning methods and architectures using metaheuristic algorithms (MA) for Arabic NLP tasks
  • Presents a compendium of recent computational methods and techniques to address the problems of various Arabic NLP tasks
  • Discusses recent advances in nature language processing, focusing on Arabic language

Part of the book series: Studies in Computational Intelligence (SCI, volume 874)

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Table of contents (10 chapters)

  1. Front Matter

    Pages i-xiv
    Download chapter PDF

  2. Text Summarization: A Brief Review

    • Laith Abualigah, Mohammad Qassem Bashabsheh, Hamzeh Alabool, Mohammad Shehab
    Pages 1-15

  3. Single Arabic Document Summarization Using Natural Language Processing Technique

    • Asmaa A. Bialy, Marwa A. Gaheen, R. M. ElEraky, A. F. ElGamal, Ahmed A. Ewees
    Pages 17-37

  4. A Proposed Natural Language Processing Preprocessing Procedures for Enhancing Arabic Text Summarization

    • Reda Elbarougy, Gamal Behery, Akram El Khatib
    Pages 39-57

  5. Effects of Light Stemming on Feature Extraction and Selection for Arabic Documents Classification

    • Yousif A. Alhaj, Mohammed A. A. Al-qaness, Abdelghani Dahou, Mohamed Abd Elaziz, Dongdong Zhao, Jianwen Xiang
    Pages 59-79

  6. Improving Arabic Lemmatization Through a Lemmas Database and a Machine-Learning Technique

    • Driss Namly, Karim Bouzoubaa, Abdelhamid El Jihad, Si Lhoussain Aouragh
    Pages 81-100

  7. The Role of Transliteration in the Process of Arabizi Translation/Sentiment Analysis

    • Imane Guellil, Faical Azouaou, Fodil Benali, Ala Eddine Hachani, Marcelo Mendoza
    Pages 101-128

  8. Sentiment Analysis in Healthcare: A Brief Review

    • Laith Abualigah, Hamza Essam Alfar, Mohammad Shehab, Alhareth Mohammed Abu Hussein
    Pages 129-141

  9. Aspect-Based Sentiment Analysis for Arabic Government Reviews

    • Sufyan Areed, Omar Alqaryouti, Bilal Siyam, Khaled Shaalan
    Pages 143-162

  10. Prediction of the Engagement Rate on Algerian Dialect Facebook Pages

    • Chayma Zatout, Ahmed Guessoum, Chemseddine Neche, Amina Daoud
    Pages 163-185

  11. Predicting Quranic Audio Clips Reciters Using Classical Machine Learning Algorithms: A Comparative Study

    • Ashraf Elnagar, Mohammed Lataifeh
    Pages 187-209
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Keywords

About this book

In light of the rapid rise of new trends and applications in various natural language processing tasks, this book presents high-quality research in the field. Each chapter addresses a common challenge in a theoretical or applied aspect of intelligent natural language processing related to Arabic language. Many challenges encountered during the development of the solutions can be resolved by incorporating language technology and artificial intelligence.

The topics covered include machine translation; speech recognition; morphological, syntactic, and semantic processing; information retrieval; text classification; text summarization; sentiment analysis; ontology construction; Arabizi translation; Arabic dialects; Arabic lemmatization; and building and evaluating linguistic resources.

This book is a valuable reference for scientists, researchers, and students from academia and industry interested in computational linguistics and artificial intelligence, especially for Arabic linguistics and related areas.

Editors and Affiliations

  • Faculty of Science, Mathematics Department, Zagazig University, Zagazig, Egypt

    Mohamed Abd Elaziz

  • School of Computer Science, Wuhan University, Wuhan, China

    Mohammed A. A. Al-qaness

  • Computer Department, Damietta University, Damietta, Egypt

    Ahmed A. Ewees

  • School of Computer Science and Technology, Wuhan University of Technology, Wuhan, China

    Abdelghani Dahou

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