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.

Opis bibliograficzny
Główni autorzy:	Al-Wakil, Kazi Md., Rahman, Rifai, Nawal, Nafisa, Meem, Sababa Rahman, Rashid, Sajid
Kolejni autorzy:	Rabiul Alam, Dr. Md. Golam
Format:	Praca dyplomowa
Język:	English
Wydane:	Brac University 2024
Hasła przedmiotowe:	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).
Dostęp online:	http://hdl.handle.net/10361/22797

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