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Challenges and Approaches in Arabic Sentiment Analysis: A Review

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Data Science and Communication (ICTDsC 2023)

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Abstract

A wide range of social media platforms have been established lately and have become an integral aspect of modern life in the digital age. Enormous volume of user-generated data through numerous social networking sites provide new perspectives to corporations and governments. However, it has become more challenging to properly glean relevant information from the huge volume of data. In order to solve this issue, sentiment analysis techniques have been used to extract and assess the emotion, opinion, and sentiment polarity in written communication. Numerous researches have been undertaken in the field of sentiment analysis, particularly on text written in English, whereas other languages such as Arabic have received limited attention. This paper aims to review sentiment analysis approaches in the Arabic language and discusses the challenges, processing pipeline, evaluation metrics, and levels of Arabic sentiment analysis (ASA). It also provides a summary of various cutting-edge techniques, studies, and datasets available for Arabic sentiment analysis in different domains.

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Author information

Authors and Affiliations

  1. School of Computer Science, Faculty of Engineering and Information and Technology, University of Technology Sydney, Broadway, Sydney, 2007, NSW, Australia

    Abdulrahman Alharbi & Nabin Sharma

  2. Department of Computer Science, College of Computer and Information Sciences, Jouf University, Sakaka, Saudi Arabia

    Abdulrahman Alharbi

Authors
  1. Abdulrahman Alharbi
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  2. Nabin Sharma
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Corresponding author

Correspondence to Abdulrahman Alharbi .

Editor information

Editors and Affiliations

  1. Faculty of Engineering, University of Porto (FEUP), Porto, Portugal

    João Manuel R. S. Tavares

  2. National Institute of Telecommunications (INATEL), Santa Rita do Sapucaí, Minas Gerais, Brazil

    Joel J. P. C. Rodrigues

  3. Siliguri Institute of Technology, Siliguri, West Bengal, India

    Debajyoti Misra

  4. Siliguri Institute of Technology, Siliguri, West Bengal, India

    Debasmriti Bhattacherjee

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© 2024 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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Alharbi, A., Sharma, N. (2024). Challenges and Approaches in Arabic Sentiment Analysis: A Review. In: Tavares, J.M.R.S., Rodrigues, J.J.P.C., Misra, D., Bhattacherjee, D. (eds) Data Science and Communication. ICTDsC 2023. Studies in Autonomic, Data-driven and Industrial Computing. Springer, Singapore. https://doi.org/10.1007/978-981-99-5435-3_36

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