Recommendation system for mood stabilization using content recommendation

Recommendation system for mood stabilization using content recommendation

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2023.

Bibliografski detalji
Glavni autori:	Al-Wakil, Kazi Md., Rahman, Rifai, Nawal, Nafisa, Meem, Sababa Rahman, Rashid, Sajid
Daljnji autori:	Rabiul Alam, Dr. Md. Golam
Format:	Disertacija
Jezik:	English
Izdano:	Brac University 2024
Teme:	Emotion classification Electroencephalograms (EEGs) Content recommendation Mood stabilization Convolutional Neural Network (CNN) Long Short-Term Memory (LSTM) Analytic Hierarchy Process (AHP) Text Classification Pearson correlation Artificial intelligence. Computational intelligence. Computer simulation. User interfaces (Computer systems).
Online pristup:	http://hdl.handle.net/10361/22797

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