Personality Prediction from Stack Overflow by using Naïve Bayes Theorem in Data Mining
Sandhya Katiyar1, Sanjay Kumar2, Himdweep Walia3

1Sandhya Katiyar, Department of Information Technology, Galgotias College of Engineering &Technology, Greater Noida, India.
2Sanjay Kumar, School of Computing Science & Engineering, Galgotias University, Greater Noida, India.
3Himdweep Walia, Amity Institute of Information Technology, Amity University, Noida, India.
Manuscript received on December 13, 2019. | Revised Manuscript received on December 27, 2019. | Manuscript published on January 10, 2020. | PP: 1555-1559 | Volume-9 Issue-3, January 2020. | Retrieval Number: D1318029420/2020©BEIESP | DOI: 10.35940/ijitee.D1318.029420
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Abstract: 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. 
Keywords: Data Mining, Gaussian Naive Bayes Classifier, MBTI, Myers-Briggs Personality Type. N-Gram Algorithm, Stack overflow, Twitter, TF-IDF Algorithm, Word Vector Algorithm
Scope of the Article: Data Mining