Myers-Briggs Type Indicator and Social Media Mining Based Career Counselling System
Mohd Sahid Khan, Manuj Darbari · Zenodo (CERN European Organization for Nuclear Research) · 2022
One of the dilemma of student life is choosing the right career. It is more so for those students who belong to the underprivileged section and whose parents and the community itself are 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 are taken as input and the system recommends the best career option. The necessary information about the student’s personality traits and interests is obtained through Social Media mining and traditional MBTI questioners.