Myers-Briggs Type Indicator and Social Media Mining Based Career Counselling System

Authors

  • Mohd Sahid Khan Research Scholar, Nirwan University, Jaipur, Rajasthan, India
  • Dr Manuj Darbari Professor, Department of Computer Science, School of Engineering, Babu Banarasi Das University, Lucknow, India

DOI:

https://doi.org/10.5281/zenodo.6726646

Keywords:

Recommender System, MBTI, NEP 2020, Facebook Mining, Career Counselling

Abstract

One of the dilemma of student life is choosing the right career. It is more so for those students who belong to underprivileged section and whose parents and the community itself is not generally aware of the various options available. Even if they are aware of it, they may not know how to choose the right one. We have proposed a Myers-Briggs Type Indicator (MBTI) and Social Media mining-based career counselling system. Explicit and Implicit inputs of the student is taken as input and the system recommends the best career option. The necessary information about the student’s personality traits and interest is obtained through Social Media mining and traditional MBTI questioners

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Published

2022-06-27

How to Cite

Mohd Sahid Khan, & Dr Manuj Darbari. (2022). Myers-Briggs Type Indicator and Social Media Mining Based Career Counselling System . Partners Universal International Research Journal, 1(2), 35–42. https://doi.org/10.5281/zenodo.6726646

Issue

Vol. 1 No. 2 (2022): PUIRJ

Section

Articles