Investigation of Personality Traits Using Data from Facebook, Tweet's and Handwriting Samples

Abstract

Personality characteristics are characterized as persistent habits of mind that have been related to a wide range of consequential choices and events. Personality qualities are correlated with one's level of happiness in relationships, career paths pursued, and other areas of life. As a result, there was surge in recent years in desire to create models that can anticipate personality characteristics in an automated fashion. With use of social media, anybody may establish a virtual identity & connect with others via the sharing of personal information and user-generated material. One kind of user behavior which socioeconomic and psychological factors often shape is how they present themselves. Furthermore, there has been lot of interest in the ability to anticipate a person's personality based upon their physiological signals, which may be analyzed in real time. Personality can be predicted considerably more accurately, which can be quite beneficial for society as a whole. And many of the researchers used the provided data for the methodical creation of health care, social marketing networks, and individually recognized advice. And after a brief discussion of the admiration of social networks like Twitter, Facebook, & Linked In, researchers were able to conduct their studies using the public data that was made available through these platforms as well as social behavior traits that could be used to predict personality traits for friends and followers. Online social media platforms networks offer increasing opportunities for knowledge discovery and the public's data in relation to their views. The social media networking content's structured information can be used to forecast the key and most significant personality traits. These days, people frequently communicate some of their ideas, facts, and emotions—and especially their personality traits—on social media platforms, which is how data is produced. Proposed the Myers Briggs Type Indicator (MBTI system) is a personality predicting type system that system that divides people into 16 components of personality types based on four axes: Extroversion(E) – Introversion(I) Thinking(T) – Feeling(F) using KNN and Logistic regression machine learning algorithms.