Intelligent Analysis for Personality Detection on Various Indicators by Clinical Reliable Psychological TTH and Stress Surveys

Abstract

Psychologists seek to measure personality to analyze the human behavior through a number of methods. As the personality of an individual affects all aspects of a person’s performances, even how he reacts to situations in his social life, academics, job, or personal life. The purpose of this research article is to enlighten the use of personality detection test in an individual’s personal, academics, career or social life, and also provide possible methods to perform personality detection test. One of the possible solutions to detect the personality study is based on the individual’s sense of humor. Throughout the twentieth century, psychologists show an outgoing interest in the study of an individual’s sense of humor. Since individual differences in humor and their relation to psychological well-being can be used to detect the particular personality traits. We have used machine learning used for personality detection that involves the development and initial validation of questionnaire, which assesses four dimensions relating to individual differences in uses of humor. Which are Self-enhancing (humor use to enhance self), Affiliative (humor use to enhance the relationship with other), Aggressive (humor use to enhance the self at the expense of others), and Self-defeating (humor use to enhance relationships at the expense of self).