Authors: Naaz Parween, Ankita Gupta
Abstract: Understanding the candidate's personality in the modern world of the business world is like spotting the technical skills, just as critical as the latter. In fact, the personality an individual applies is the key to success in both personal and professional aspects. Hence, this study features a system using machine learning based on personality prediction from CVs in order to cut short the hiring time of the right employee to the required position by evaluation of personality contours of the candidate. More advanced yet with a combination of other techniques as for the classification model with the Big Five Personality Model along with the NLP technique, this method defines the traits such as Openness, Conscientiousness, Extraversion, Agreeableness, and Neuroticism using keyword analysis only. To discover the machine learning algorithm of the highest quality, we tested various ones such as Logistics Regression, Naive Bayes, k-Nearest Neighbours (KNN), Support Vector Machines (SVM), and Random Forest. Consequently, it was evidenced after the study period that the Random Forest algorithm indeed showed the most precise result of 71%, thus surpassing other methods in the survey. At the time, the proposed system together with the business planning called "the recruitment tool" helps companies find the best candidate; therefore, the use of personality-based hiring becomes a major trend in them. The next step in the evolution process is that we will include a more extensive dataset and make the model more precise for tours.
DOI: http://doi.org/
