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.

Detalhes bibliográficos
Principais autores: Al-Wakil, Kazi Md., Rahman, Rifai, Nawal, Nafisa, Meem, Sababa Rahman, Rashid, Sajid
Outros Autores: Rabiul Alam, Dr. Md. Golam
Formato: Tese
Idioma:English
Publicado em: Brac University 2024
Assuntos:
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).
Acesso em linha:http://hdl.handle.net/10361/22797

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