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Detection of Personality Traits for Myanmar Users

Author(s):

Mar Mar Soe , University of Computer Studies, Loikaw

Keywords:

Personality Recognition, Supervised Machine Learning, Big Five Personality

Abstract

Personality is a combination of an individuals motivation, emotion and behavior. Each personality has great impact on each live. Personality plays an important role in academic achievement. Many psychologists have found that as GPA and exam performance are both predicted by conscientiousness. Openness and Extraversion both predict all learning styles and Neuroticism is negatively related to academic success. All Big Five personality traits helped to predict the educational identity of students. By seeing these findings, there might be a large influence on academic motivation that leads to predicting a students academic performance. This paper introduces Personality trait detection in Myanmar University students. A Personality traits dataset that was gathered from 100 students.

Other Details

Paper ID: IJSRDV7I80015
Published in: Volume : 7, Issue : 8
Publication Date: 01/11/2019
Page(s): 587-590

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