Recent trends in deep learning based personality detection

  • Yash Mehta
  • Navonil Majumder
  • Alexander Gelbukh
  • Erik CambriaEmail author


Recently, the automatic prediction of personality traits has received a lot of attention. Specifically, personality trait prediction from multimodal data has emerged as a hot topic within the field of affective computing. In this paper, we review significant machine learning models which have been employed for personality detection, with an emphasis on deep learning-based methods. This review paper provides an overview of the most popular approaches to automated personality detection, various computational datasets, its industrial applications, and state-of-the-art machine learning models for personality detection with specific focus on multimodal approaches. Personality detection is a very broad and diverse topic: this survey only focuses on computational approaches and leaves out psychological studies on personality detection.


Personality detection Multimodal interaction Deep learning 



We would like to thank Prof. Bharat M Deshpande for his valuable guidance. A. Gelbukh recognizes the support of the Instituto Politecnico Nacional via the Secretaria de Investigacion y Posgrado projects SIP 20196437 and SIP 20196021.


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Authors and Affiliations

  1. 1.Gatsby Computational Neuroscience UnitUniversity College LondonLondonUK
  2. 2.Centro de Investigación en ComputaciónInstituto Politécnico NacionalMexico CityMexico
  3. 3.School of Computer Science and EngineeringNanyang Technological UniversitySingaporeSingapore

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