Citation:

Ashutosh Kumar Choudhary, P Lahari, V Anusha, V Devipriya, Y Shiva Shankar Reddy, P Sai Diwakar, 2023. "Personality Prediction Using Machine Learning Techniques- A Review" ESP Journal of Engineering & Technology Advancements  3(1): 31-38.

Abstract:

Platforms like Facebook, Twitter, YouTube, and Instagram, produce enormous amounts of data every second and have emerged drastically over the past 10 years as social network development has accelerated. Important knowledge about social interactions and human behavior is provided by this vast, comprehensive data set. Therefore, by gathering and examining pertinent data from social media, it is possible to determine a person's personality traits. The combination of traits and characteristics that contribute to an individual's unique character, such as thinking, feeling, and conduct, is referred to as their "personality." Cyberbullying, or bullying via electronic messages, has emerged as a result of the exponential rise in social media users. User profiles and historical textual elements can be used to forecast personalities. The Big Five Model, also known as the OCEAN model, the Support Vector Machine (SVM), the Random Forest Classifier, and the K-Nearest Neighbors (KNN) algorithm are used in this research to propose a machine-learning technique for personality prediction.

References:

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Keywords:

Personality, Support Vector Machine, K-Nearest Neighbors, Random Forest Classifier, OCEAN Model.