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Automatic Personality Trait Recognition Based on Deep Learning Algorithms

  • Mariem Mkhini,
  • Nouha Arfaoui,
  • Aboubacar Sidiki Sidibe,
  • Bertille Baron,
  • Serawork Wallelign

摘要

The personality is considered as the combination of various factors including behavior, emotion, thoughts, etc. It has a crucial impact on our daily life. Many works in the literature proposed solutions to study the different personality traits from text. Because of the huge amount of data extracted from emails, social medias, etc., automating this task becomes crucial hence the use of deep learning and natural language processing. We propose, in this work, implementing and evaluating different Deep Learning algorithms in order to determine the best one based on the value of accuracy. We used, for this purpose, Big Five dataset which represents the five traits of a person which are Openness, Conscientiousness, Extroversion, Agreeableness.