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Text-Based Automatic Personality Recognition: Recent Developments

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Proceedings of Third International Conference on Computing, Communications, and Cyber-Security

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 421))

Abstract

The use of computation in personality recognition has been explored for several decades now. As such, it is possible to derive personality from the data available on social media, telecommunication signals, and every signal obtained from human–machine interaction. Personality computation has been explored in two major domains: social signal processing and human–computer interaction. Automatic personality trait recognition from textual context is an emerging research topic that has gotten considerable attention in the area of natural language processing (NLP). In this survey, we reviewed the existing works in the field of automatic personality detection from texts and provided a comparative analysis. We identified some open research gaps and discussed major issues presented in existing literature, including issues with current datasets, techniques, personality features, and personality models employed, as well as how they can be bettered in the future.

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Author information

Authors and Affiliations

  1. Department of Computer Science and Information Technology, Central University of Jammu, Samba, Jammu and Kashmir, 181143, India

    Sumiya Mushtaq & Neerendra Kumar

Authors
  1. Sumiya Mushtaq
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  2. Neerendra Kumar
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Corresponding author

Correspondence to Sumiya Mushtaq .

Editor information

Editors and Affiliations

  1. Department of Computer Science, KIET Group of Institutions, Ghaziabad, Delhi, India

    Pradeep Kumar Singh

  2. Institute of Computer Science, Polish Academy of Sciences, Warsaw, Poland

    Sławomir T. Wierzchoń

  3. Department of Computer Science and Engineering, Nirma University, Ahmedabad, India

    Sudeep Tanwar

  4. Federal University of PiauĂ­, Teresina, Brazil

    Joel J. P. C. Rodrigues

  5. Faculty of Mathematics and Informatics, Warsaw University of Technology, Warsaw, Poland

    Maria Ganzha

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© 2023 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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Mushtaq, S., Kumar, N. (2023). Text-Based Automatic Personality Recognition: Recent Developments. In: Singh, P.K., Wierzchoń, S.T., Tanwar, S., Rodrigues, J.J.P.C., Ganzha, M. (eds) Proceedings of Third International Conference on Computing, Communications, and Cyber-Security. Lecture Notes in Networks and Systems, vol 421. Springer, Singapore. https://doi.org/10.1007/978-981-19-1142-2_43

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  • DOI: https://doi.org/10.1007/978-981-19-1142-2_43

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-19-1141-5

  • Online ISBN: 978-981-19-1142-2

  • eBook Packages: EngineeringEngineering (R0)

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