Abstract
An eager desire to predict the personality of a person is not as new after the invention of social media. It is useful for understanding the psychology and behavior of users on social networking sites. The researchers are exploring the usefulness of personality prediction for different purposes such as in organization development, marketing, health care, dating suggestions, and personalized recommendations. A lot of research is done in this field, but to achieve higher accuracy is still challenging. In this paper, we have combined Myers–Briggs and Big Five model to extract the features of a person for personality prediction. We analyzed and compared our method with many existing machine learning algorithms. The accuracy from our methodology is up to 80.39%.
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Katare, G., Maurya, A., Kumar, D. (2022). Personality Prediction from Text of Social Networking Sites by Combining Myers–Briggs and Big Five Models. In: Kumar, A., Ghinea, G., Merugu, S., Hashimoto, T. (eds) Proceedings of the International Conference on Cognitive and Intelligent Computing. Cognitive Science and Technology. Springer, Singapore. https://doi.org/10.1007/978-981-19-2350-0_36
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DOI: https://doi.org/10.1007/978-981-19-2350-0_36
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