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.

Podrobná bibliografie
Hlavní autoři: Al-Wakil, Kazi Md., Rahman, Rifai, Nawal, Nafisa, Meem, Sababa Rahman, Rashid, Sajid
Další autoři: Rabiul Alam, Dr. Md. Golam
Médium: Diplomová práce
Jazyk:English
Vydáno: Brac University 2024
Témata:
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).
On-line přístup:http://hdl.handle.net/10361/22797

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