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- Title
Personality Prediction through Social Media Posts.
- Authors
Bhamare, Mamta; Ashokkumar, K.
- 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 reflection 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.
- Subjects
SOCIAL media; SOCIAL prediction; PERSONALITY assessment; FIVE-factor model of personality; PERSONALITY; HYACINTHOIDES; USER-generated content
- Publication
International Journal of Performability Engineering, 2022, Vol 18, Issue 11, p817
- ISSN
0973-1318
- Publication type
Article
- DOI
10.23940/ijpe.22.11.p7.817825