Predicting effectiveness of marketing through analyzing emotional context in advertisement using deep learning
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2020.
Autors principals: | Arafat, Sheikh Mohammad, Islam, Rifatul, Rafi, Ishraque Arefin, Islam, Md. Rashedul |
---|---|
Altres autors: | Alam, Md. Golam Rabiul |
Format: | Thesis |
Idioma: | en_US |
Publicat: |
Brac University
2021
|
Matèries: | |
Accés en línia: | http://hdl.handle.net/10361/14468 |
Ítems similars
-
Predicting crime using deep learning
per: Shihab, Muhammad Nafees, et al.
Publicat: (2024) -
Bangla speech recognition using 1D CNN and LSTM with different dimension reduction techniques
per: Nirjhor, S M Mahsanul Islam, et al.
Publicat: (2019) -
RED-LSTM: Real time emotion detection using LSTM
per: Labiba, Mansura Rahman, et al.
Publicat: (2023) -
Speech emotion detection using supervised, unsupervised and feature selection algorithms
per: Rifat, Abu Nuraiya Mahfuza Yesmin, et al.
Publicat: (2019) -
Human sentiment analysis using natural language processing
per: Shamya, Md. Shamiul Haque Khan, et al.
Publicat: (2024)