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.

Dettagli Bibliografici
Autori principali: Al-Wakil, Kazi Md., Rahman, Rifai, Nawal, Nafisa, Meem, Sababa Rahman, Rashid, Sajid
Altri autori: Rabiul Alam, Dr. Md. Golam
Natura: Tesi
Lingua:English
Pubblicazione: Brac University 2024
Soggetti:
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).
Accesso online:http://hdl.handle.net/10361/22797
Descrizione
Riassunto:This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2023.

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