Int J Performability Eng ›› 2022, Vol. 18 ›› Issue (11): 817-825.doi: 10.23940/ijpe.22.11.p7.817825

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Personality Prediction through Social Media Posts

Mamta Bhamarea,b,*, and K Ashokkumara   

  1. aDepartment of Computer Science and Engineering, Sathyabama Institute of Science and Technology, Chennai, 600119, India;
    bSchool of Computer Engineering and Technology, MIT World Peace University, Pune, 411038, India
  • Contact: *E-mail address:

Abstract: One of the major platforms today to express your emotions, expressions, feelings, and views about something or about any product is social media. People put forth what they feel, therefore their individual posts can be judged as a re?ection of their personality, but how to judge a personality of a person based on social media posts and that too of say large data, say thousands, and produce analysis on it. In our studies, we specialize in using deep learning to build a classifier that can classify individuals according to their Myers-Briggs Type Index (MBTI) solely using textual content samples from their social media posts as an input. There are two reasons for developing such a classifier. First, due to the fact social media is so ubiquitous, one of these classifiers might have lots of statistics to degree character, permitting extra human beings to realize their MBTI character type, possibly extra reliably and faster. Our second incentive is the opportunity that our classifier can be more correct than the cutting-edge assessments, as evidenced with the aid of using the low retest mistakes price for character assessments executed with the aid of using expert psychologists. It may be possible to use our classification method to verify the accuracy of these first assessments, to give individuals more confidence in their results. In some cases, a text classification may be more comprehensive than a single personality assessment.

Key words: deep learning, machine learning, Myers-Briggs type index (MBTI), big five model, natural language processing (NLP), personality, social media