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.

Bibliographic Details
Main Authors: Al-Wakil, Kazi Md., Rahman, Rifai, Nawal, Nafisa, Meem, Sababa Rahman, Rashid, Sajid
Other Authors: Rabiul Alam, Dr. Md. Golam
Format: Thesis
Language:English
Published: Brac University 2024
Subjects:
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 Access:http://hdl.handle.net/10361/22797

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