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2023 | OriginalPaper | Chapter

Text-Based Automatic Personality Recognition: Recent Developments

Authors : Sumiya Mushtaq, Neerendra Kumar

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

Publisher: Springer Nature Singapore

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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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Metadata
Title
Text-Based Automatic Personality Recognition: Recent Developments
Authors
Sumiya Mushtaq
Neerendra Kumar
Copyright Year
2023
Publisher
Springer Nature Singapore
Book
Proceedings of Third International Conference on Computing, Communications, and Cyber-Security

Print ISBN: 978-981-19-1141-5

Electronic ISBN: 978-981-19-1142-2

Copyright Year: 2023

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