Development of a therapeutic service Muslim: Personality Classification of Emotions Based on Text input
| dc.contributor.author | Boubaya, Samia | |
| dc.contributor.author | Chekhaba, Amina | |
| dc.contributor.author | Encadreur: Chatra, Mohamed | |
| dc.date.accessioned | 2022-07-18T09:41:52Z | |
| dc.date.available | 2022-07-18T09:41:52Z | |
| dc.date.issued | 2022-06-10 | |
| dc.description.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. | en_US |
| dc.identifier.uri | https://repository.univ-msila.dz/handle/123456789/30601 | |
| dc.language.iso | en | en_US |
| dc.publisher | UNIVERSITY of M'SILA | en_US |
| dc.subject | AI; Machine Learning; ANN; Myers-Briggs; MBTI Personality Typing; BERT; Deep Learning; Mental Health Disorders. | en_US |
| dc.title | Development of a therapeutic service Muslim: Personality Classification of Emotions Based on Text input | en_US |
| dc.type | Thesis | en_US |