Development of a therapeutic service Muslim: Personality Classification of Emotions Based on Text input
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Date
2022-06-10
Journal Title
Journal ISSN
Volume Title
Publisher
UNIVERSITY of M'SILA
Abstract
The term personality can be expressed in terms of individual differences in characteristics
and patterns of thinking, feeling, and behaving. This work introduces various machine learning
techniques, including Naive Bayes, Support Vector Machines, and Recurrent Neural Networks,
to predict people's personality from text based on the Myers-Briggs Type Indicator (MBTI).
Additionally, this project applies CRISP-DM, which stands for Cross-Industry Standard
Process for Data Mining, to guide the learning process. Since CRISP-DM is a type of iterative
development, we introduced it with an agile methodology, which is a rapid iterative software
development method, to reduce the development cycle to a minimum.
Description
Keywords
AI; Machine Learning; ANN; Myers-Briggs; MBTI Personality Typing; BERT; Deep Learning; Mental Health Disorders.