A Survey on Big Five Personality Traits Prediction Using Tensorflow

• Main Authors: Nilugonda Manisha, Madhavi Dr. Karanam
• Format: Article
• Language: English
• Published: EDP Sciences 2020-01-01
• Series: E3S Web of Conferences
• Online Access: https://www.e3s-conferences.org/articles/e3sconf/pdf/2020/44/e3sconf_icmed2020_01053.pdf

A personality trait is a specific pattern of thought, thinking, or performing that manages to be faithful over time and beyond essential places. The Big Five—Extraversion, Agreeableness, Conscientiousness, Neuroticism and Openness to Practice are a set of five broad, bipolar quality dimensions that establish the most extensively used design of personality construction. Earlier investigations revealed a growing interest in defining the personality and behavior of people in fields such as career development, personalized health assistance, counseling, mental disorder analysis, and the detection of physical diseases with personality shift symptoms. Modern methods of discovering the Big-Five personality types include completing a survey, that takes an impractical amount of time and cannot be used often. This paper provides a survey on detecting of big five personality traits based on facial features recognition using TensorFlow mechanism. And also, various methods to detect big five personality traits are discussed in this paper. Finally, the graph provides a comparison between various detection of big five personality traits on facial expressions.