Personality Prediction System via Curriculum Vitae (CV) Analysis Using Natural Language Processing (NLP) and Logistic Regression.

Abstract

When it comes to the study of humans, adjudicating one’s personality is important as it acts as a window to deciphering the individual’s mindset. The personality is a vital part of an individual when he or she works for a complex organization. There are several ways to determine an individual’s personality but the most sought after and direct method is through a simple quiz. The questions in the quiz are framed in a way that they take values with reference to the big five personality model and aid the developer in framing a personality report of the individual in question. When I take a look at the current process of hiring and selection that various organizations make use of, the employers often pick out CVs in a manual way which is monotonous, time-consuming, and consumes a lot of human resources. Our approach is rendering an automated model that motorizes the eligibility check and aptitude evaluation of an applicant in the selection process to target the drawbacks of the traditional recruitment system, a web application that analyzes both the personality and an individual’s CV has been curate. This model employs a machine learning algorithm namely “Logistic Regression” which helps to choose fair decisions to recruit a suitable candidate, and “Natural Language Processing (NLP)” uses techniques with the help of Natural Language Toolkit (NLTK) libraries to process and categorize the data. Also, the use of graphs to analyze a candidate's success makes it easier to assess his or her personality and aids in proper CV analysis. As a result, the framework lends a hand in the recruitment process, allowing the candidate's CV to be shortlisted and a reasonable decision to be reached.