Framework for Implementation of Personality Inventory Model on Natural Language Processing with Personality Traits Analysis

Abstract

The phrase "personality" refers to an individual's distinct mode of thought, action, and behaviour Personality is a collection of feelings, thoughts, and aspirations that may be seen in the way people interact with one another. Behavioural features that separate one person from another and may be clearly seen when interacting with individuals in one's immediate surroundings and social group are included in this category of traits. To improve good healthy discourse, a variety of ways for evaluating candidate personalities based on the meaning of their textual message have been developed. According to the research, the textual content of interview responses to conventional interview questions is an effective measure for predicting a person's personality attribute. Nowadays, personality prediction has garnered considerable interest. It analyses user activity and displays their ideas, feelings, and so on. Historically, defining a personality trait was a laborious process. Thus, automated prediction is required for a big number of users. Different algorithms, data sources, and feature sets are used in various techniques. As a way to gauge someone's personality, personality prediction has evolved into an important topic of research in both psychology and computer science. Candidate personality traits may be classified using a word embedding model, which is the subject of this article.