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.

Bibliografiska uppgifter
Huvudupphovsmän: Al-Wakil, Kazi Md., Rahman, Rifai, Nawal, Nafisa, Meem, Sababa Rahman, Rashid, Sajid
Övriga upphovsmän: Rabiul Alam, Dr. Md. Golam
Materialtyp: Lärdomsprov
Språk:English
Publicerad: Brac University 2024
Ämnen:
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).
Länkar:http://hdl.handle.net/10361/22797

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