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Building a Multilingual Corpus of Tweets Relating to Algerian Higher Education

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Intelligent Systems and Pattern Recognition (ISPR 2022)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1589))

Abstract

Nowadays, sentiment analysis on user-generated content on social media platforms has shown outstanding benefits in various fields such as marketing, politics, and medicine. Likewise, higher education institutions can draw advantages from the knowledge gained by sentiment analysis of student-generated content on social media to improve their policies and services. However, there has been no available social media corpus concerning Algerian higher education. In light of this, we provide Algerian higher education institutions with the first multilingual tweets corpus. This paper describes the undertaken steps for the corpus-building involving data collection, data preprocessing, and data annotation.

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Notes

  1. 1.

    https://github.com/Mottl/GetOldTweets3.

  2. 2.

    https://data.mendeley.com/datasets/6ndwt6s5ry/1.

  3. 3.

    https://github.com/Mimino666/langdetect.

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Author information

Authors and Affiliations

  1. Laboratoire d’INtelligence Artificielle et des Technologies de l’Information (LINATI), Department of Computer Science and Information Technologies, Kasdi Merbah University Ouargla, Ouargla, Algeria

    Asma Siagh & Fatima Zohra Laallam

  2. Smart Computer Science Laboratory (LINFI), Computer Science Department, University of Biskra, Biskra, Algeria

    Okba Kazar

  3. Department of Information Systems and Security, College of Information Technology, United Arab Emirate University, Al Ain, United Arab Emirates

    Okba Kazar

Authors
  1. Asma Siagh
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  2. Fatima Zohra Laallam
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  3. Okba Kazar
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Corresponding author

Correspondence to Asma Siagh .

Editor information

Editors and Affiliations

  1. Larbi Tebessi University, Tebessa, Algeria

    Akram Bennour

  2. Arkansas Tech University, Russellville, AR, USA

    Tolga Ensari

  3. Digital Research Centre of Sfax, Sakiet Ezzit, Tunisia

    Yousri Kessentini

  4. Southeast Missouri State University, Cape Girardeau, MO, USA

    Sean Eom

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Siagh, A., Laallam, F.Z., Kazar, O. (2022). Building a Multilingual Corpus of Tweets Relating to Algerian Higher Education. In: Bennour, A., Ensari, T., Kessentini, Y., Eom, S. (eds) Intelligent Systems and Pattern Recognition. ISPR 2022. Communications in Computer and Information Science, vol 1589. Springer, Cham. https://doi.org/10.1007/978-3-031-08277-1_11

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  • DOI: https://doi.org/10.1007/978-3-031-08277-1_11

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-08276-4

  • Online ISBN: 978-3-031-08277-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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