Abstract: In order to categorize people's personalities, this study applies the machine learning approach known as logistic regression. Moreover, machines that use Natural Language Processing (NLP) can comprehend and interact with human language. Several earlier research projects have tried to automatically determine an individual's personality type. Sorting people according to their personality types is one of the most significant uses of machine learning algorithms. There are a lot of advantages to grouping people into categories. Knowing one's personality can be quite beneficial in the modern world with abundant opportunities. Based on these forecasts, anyone can select a job or other interests. Many firms in the modern world utilize these personality assessments to select candidates since it increases productivity because the employee is doing what he or she is best at.
Keywords: Multinomial Logistic Regression, Python, Web Technology, Personality, NLP, IBM Watson (video analysis)
Cite:
Prof. Amol Chincholkar, Dipti Bhosale, Shivanjali Adsul, Anjali Bodkhe, Rutuja Kadam,"A Comprehensive Survey on Personality Prediction Using Machine Learning Techniques", IJARCCE International Journal of Advanced Research in Computer and Communication Engineering, vol. 12, no. 11, pp. 142-147, 2023, Crossref https://doi.org/10.17148/IJARCCE.2023.121120.
|
DOI:
10.17148/IJARCCE.2023.121120
