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Proceedings of Sixth International Congress on Information and Communication Technology pp 745–753Cite as

Towards Author Profiling from Modern Standard Arabic Texts: A Review

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Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 235))

Abstract

One of the most popular topics that many researchers showed interest in recently is the possibility of extracting the personal/demographic characteristics of the authors from their texts such as gender, age, political affiliation, or native language. This is known as Author Profiling (AP). There is a growing interest in AP these last years, in view of its unlimited applications like crime investigations, security, or marketing analysis. In this paper, we review the state of the art about the main author profiling problems, as well as the most used techniques and features, focusing mainly on the Standard Arabic language.

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Notes

  1. 1.

    PAN is for plagiarism analysis and authorship identification: https://pan.webis.de/events.html.

  2. 2.

    An ARFF is an attribute relation file format which is a text file (ASCII) that describes a group of instances that shares a set of attributes. They were built by the University of Waikato.

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Author information

Authors and Affiliations

  1. Hassiba Benbouali University of Chlef, Chlef, Algeria

    Asmaa Mansour Khoudja, Mourad Loukam & Fatma Zohra Belkredim

Authors
  1. Asmaa Mansour Khoudja
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  2. Mourad Loukam
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  3. Fatma Zohra Belkredim
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Corresponding author

Correspondence to Asmaa Mansour Khoudja .

Editor information

Editors and Affiliations

  1. Middlesex University, London, UK

    Xin-She Yang

  2. University of Reading, Reading, UK

    Simon Sherratt

  3. JIS University, Kolkata, India

    Nilanjan Dey

  4. Global Knowledge Research Foundation, Ahmedabad, India

    Amit Joshi

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© 2022 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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Cite this paper

Mansour Khoudja, A., Loukam, M., Belkredim, F.Z. (2022). Towards Author Profiling from Modern Standard Arabic Texts: A Review. In: Yang, XS., Sherratt, S., Dey, N., Joshi, A. (eds) Proceedings of Sixth International Congress on Information and Communication Technology. Lecture Notes in Networks and Systems, vol 235. Springer, Singapore. https://doi.org/10.1007/978-981-16-2377-6_69

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