Big Five Personality Prediction Using Machine Learning Algorithms
DOI:
https://doi.org/10.17762/msea.v71i3.393Abstract
With the tremendous increase in use of Machine Learning and Data Science, it becomes easier to collect and process the data related to human personality and behavior. Personality prediction systems and recommendation models allow for better discovery of human moods and interests. The personality trait is an internal attribute that may be derived from a pattern of actions, attitudes, feelings, and habits in a person. Extraversion, Agreeableness, Openness, Conscientiousness, and Neuroticism are the five broad personality qualities outlined by theory. Earlier research demonstrated an increasing interest in personality prediction among persons working in industries such as career development as well as counselling, and health care, among others. Completing surveys, which take an inordinate amount of time and are seldom, is a modern technique of determining the Big-Five Personality type. This research includes a survey on utilizing machine learning to recognize for big five personality traits, model based on the responses to a series of personality questions.