Personality Prediction from Stack Overflow by using Naïve Bayes Theorem in Data Mining
Sandhya Katiyar, Sanjay Kumar, Himdweep Walia · International Journal of Innovative Technology and Exploring Engineering · 2020
This paper presents a system that provides an automatic process which defines how to evaluate designation and predict personality of individuals as wel for any jobl. This system is being set up via a web application, where the system manipulates data from social media sites like Twitter and Blog-Forums i.e. “Stack Overflow” of individuals. Myers-Briggs personality type is used for predicting the personality behavior of individuals. The technical skills in the form of raw data have been classified by using Gaussian Naive Bayes classification and for personal behavior; data mining & machine learning are used. This system is used to analyze the personality of an individual and hence using this information to build a team for a job.