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.

Bibliographische Detailangaben
Hauptverfasser:	Al-Wakil, Kazi Md., Rahman, Rifai, Nawal, Nafisa, Meem, Sababa Rahman, Rashid, Sajid
Weitere Verfasser:	Rabiul Alam, Dr. Md. Golam
Format:	Abschlussarbeit
Sprache:	English
Veröffentlicht:	Brac University 2024
Schlagworte:	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 Zugang:	http://hdl.handle.net/10361/22797

http://hdl.handle.net/10361/22797

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