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Contribution to the Moroccan Darija sentiment analysis in social networks

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Abstract

With the rise of social media, there has been a growing interest in developing automatic sentiment analysis and opinion mining tools for natural language processing (NLP). However, most of the current research focuses on Indo-European languages, particularly English. However, a large community of people who use dialectics is not being adequately served by these existing tools. To our knowledge, there is currently no publicly available dataset for sentiment analysis specifically for the Moroccan dialect (MAD) that covers all social networks. In this work, we aim to address this issue by focusing on sentiment analysis for the Moroccan Arabic dialect (Darija), by creating a large and high-quality dataset of Moroccan dialectal text extracted from different social media (Facebook, Twitter, YouTube, Instagram and Web site) that covers a wide range of domains including sports, arts, politics, education and society. It is characterized by its size, quality, and variety, and involves experimenting with different machine learning algorithms, feature extraction models, and testing the transformer-based model (BERT).

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Data availability

The datasets generated during and/or analyzed during the current study are available from the corresponding author on reasonable request.

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We, the authors, declare we have not received any funding or grant for this work.

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Authors and Affiliations

  1. SOVIA team, LSA, National School of Applied Sciences of Al Hoceima, Abdelmalek Essaadi University, Tetuan, Morocco

    Sara El Ouahabi & El Wardani Dadi

  2. Laboratory of Applied Mathematics and Information Systems, Polydisciplinary Faculty of Nador, Mohammed First University, 60000, Oujda, Morocco

    Safâa El Ouahabi

Authors
  1. Sara El Ouahabi
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  2. Safâa El Ouahabi
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  3. El Wardani Dadi
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Contributions

SEO conceived this research, designed experiments and interpreted the data. SEO and EWD participated in the revisions and the supervision of the study and the manuscript. All authors read and approved the final manuscript.

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Correspondence to Sara El Ouahabi.

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El Ouahabi, S., El Ouahabi, S. & Dadi, E.W. Contribution to the Moroccan Darija sentiment analysis in social networks. Soc. Netw. Anal. Min. 13, 138 (2023). https://doi.org/10.1007/s13278-023-01129-1

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