Detecting self-esteem level and depressive indication due to different parenting style using supervised learning techniques
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2022.
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Brac University
2022
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| অনলাইন ব্যবহার করুন: | http://hdl.handle.net/10361/17215 |
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10361-172152022-09-14T21:01:35Z Detecting self-esteem level and depressive indication due to different parenting style using supervised learning techniques Al Taawab, Abdullah Rahman, Mahfuzzur Islam, Zawadul Mustari, Nafisa Alam, Md. Golam Rabiul Roy, Shaily Department of Computer Science and Engineering, Brac University Machine Learning Deep Learning LIWC NLP Depression Parenting style Self Esteem Parenting. Machine learning. This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2022. Cataloged from PDF version of thesis. Includes bibliographical references (pages 37-39). Uprising a child is a psychological construct of parents, which is a combination of factors that evolves over time with the growth and development of the child. Parent ing style represents a set of strategies that have diverse influences on children. These approaches can create depressive symptoms in children’s minds, which can last even if they become adolescents. Moreover, these indications may affect their level of self confidence. In this research, supervised learning models are used to detect different parenting styles, depression indications of adolescents due to parenting and the level of their self-esteem. Due to the absence of publicly available data, we created our own data set of about 500 survey responses. Additionally, eleven psychological and nine linguistic attributes of Linguistic Inquiry and Word Count (LIWC) have been used to identify depression indications. Among all the supervised models, the Lo gistic Regression (LR), Gradient Boost Classifier (GBC) and Bi-Directional LSTM (Bi-LSTM) provide better results than other models. This research is capable of helping the parents to know their children’s psychology in a better way and make them have a more profound discussion on practical life. Abdullah Al Taawab Mahfuzzur Rahman Zawadul Islam Nafisa Mustari B. Computer Science 2022-09-14T05:21:26Z 2022-09-14T05:21:26Z 2022 2022-05 Thesis ID: 20341043 ID: 18101485 ID: 18101005 ID: 19101086 http://hdl.handle.net/10361/17215 en_US Brac University theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. 39 Pages application/pdf Brac University |
| institution |
Brac University |
| collection |
Institutional Repository |
| language |
en_US |
| topic |
Machine Learning Deep Learning LIWC NLP Depression Parenting style Self Esteem Parenting. Machine learning. |
| spellingShingle |
Machine Learning Deep Learning LIWC NLP Depression Parenting style Self Esteem Parenting. Machine learning. Al Taawab, Abdullah Rahman, Mahfuzzur Islam, Zawadul Mustari, Nafisa Detecting self-esteem level and depressive indication due to different parenting style using supervised learning techniques |
| description |
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2022. |
| author2 |
Alam, Md. Golam Rabiul |
| author_facet |
Alam, Md. Golam Rabiul Al Taawab, Abdullah Rahman, Mahfuzzur Islam, Zawadul Mustari, Nafisa |
| format |
Thesis |
| author |
Al Taawab, Abdullah Rahman, Mahfuzzur Islam, Zawadul Mustari, Nafisa |
| author_sort |
Al Taawab, Abdullah |
| title |
Detecting self-esteem level and depressive indication due to different parenting style using supervised learning techniques |
| title_short |
Detecting self-esteem level and depressive indication due to different parenting style using supervised learning techniques |
| title_full |
Detecting self-esteem level and depressive indication due to different parenting style using supervised learning techniques |
| title_fullStr |
Detecting self-esteem level and depressive indication due to different parenting style using supervised learning techniques |
| title_full_unstemmed |
Detecting self-esteem level and depressive indication due to different parenting style using supervised learning techniques |
| title_sort |
detecting self-esteem level and depressive indication due to different parenting style using supervised learning techniques |
| publisher |
Brac University |
| publishDate |
2022 |
| url |
http://hdl.handle.net/10361/17215 |
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