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Construction and Exploitation of an Algerian Corpus for Opinion and Emotion Analysis

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Advances in Knowledge Discovery and Management

Part of the book series: Studies in Computational Intelligence ((SCI,volume 1004))

Abstract

The opinions we form are products of knowledge which are built over the years, from a mixture of our surroundings, culture and traditions. Several methods have been proposed over the years. However, dialects were not given much importance, as most studies focus on the English language. Reviewing the research carried out on North African dialects in general, particularly the Algerian dialect and to compensate for the shortage of documented information, we developed a platform which we called “TWIFIL”, for public data annotation. This resulted in the generation of an annotated corpus and a lexicon for the opinion and emotion analysis of Algerian dialects. The purpose of this work is twofold. Firstly, it addresses the shortage of relevant data for the Algerian dialect’s opinion and emotion analysis. Secondly, it provides a more reliable (the assessment of more than one person) annotated corpus. To validate our corpus, a neural sentiment classifier is created which gives competitive results compared to support vector machines and proves that the proposed corpus can be used for opinion and emotion analysis’s tasks.

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Notes

  1. 1.

    https://wearesocial.com/blog/2018/01/global-digital-report-2018 (visited on 01st, January 2019).

  2. 2.

    https://www.slideshare.net/wearesocial/digital-in-2018-in-northern-africa-86865355.

  3. 3.

    http://gs.statcounter.com/social-media-stats/all/algeria/2019.

  4. 4.

    https://www.worldatlas.com/articles/what-languages-are-spoken-in-algeria.html.

  5. 5.

    https://newrepublic.com/article/150506/universal-basic-income-future-of-pointless-work.

  6. 6.

    All words quoted from the Algerian dialect were given by the authors, who are regular users of the dialect and social media.

  7. 7.

    https://twifil.com.

  8. 8.

    http://bit.do/twifil.

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Author information

Authors and Affiliations

  1. RIIMA Laboratory, University of Sciences and Technology Houari Boumediene (USTHB), Algiers, Algeria

    Leila Moudjari & Karima Akli-Astouati

Authors
  1. Leila Moudjari
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  2. Karima Akli-Astouati
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Corresponding author

Correspondence to Leila Moudjari .

Editor information

Editors and Affiliations

  1. LIASD, Paris 8 University, Saint-Denis, France

    Rakia Jaziri

  2. IRISA, University of Rennes, Lannion, France

    Arnaud Martin

  3. LIG (CNRS UMR 5217), Université Grenoble Alpes, Grenoble, France

    Marie-Christine Rousset

  4. LORIA, Université de Lorraine, Metz, France

    Lydia Boudjeloud-Assala

  5. LS2N (CNRS UMR 6004), Nantes University, Nantes, France

    Fabrice Guillet

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Moudjari, L., Akli-Astouati, K. (2022). Construction and Exploitation of an Algerian Corpus for Opinion and Emotion Analysis. In: Jaziri, R., Martin, A., Rousset, MC., Boudjeloud-Assala, L., Guillet, F. (eds) Advances in Knowledge Discovery and Management. Studies in Computational Intelligence, vol 1004. Springer, Cham. https://doi.org/10.1007/978-3-030-90287-2_1

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