Share market forecasting with LSTM neural network and sentimental trend prediction
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2019.
Main Authors: | Rony, Ismail Hossain, Anik, Ahsan Ahmed, Asif, Abdullah Al, Muhammad, Sayeed |
---|---|
Outros Autores: | Mobin, Md.Iftekharul |
Formato: | Thesis |
Idioma: | English |
Publicado em: |
Brac University
2020
|
Assuntos: | |
Acesso em linha: | http://hdl.handle.net/10361/13778 |
Registos relacionados
-
Conversion of Bengali speech to text using long short-term memory(LSTM)
Por: Chowdhury, Mohammad Fahim, et al.
Publicado em: (2021) -
LSTM based content prediction for edge caching using federated learning approach
Por: Mazumder, Shafkat Ahmed, et al.
Publicado em: (2021) -
Forecasting market movement in Dhaka Stock Exchange: LSTM vs. ARIMA
Por: Chakraborty, Pranjal
Publicado em: (2019) -
An android application to predict human activity using a deep learning LSTM model
Por: Sikder, Debabrata
Publicado em: (2024) -
Cryptocurrency price prediction and forecasting using machine learning algorithm and long- short term memory mapping
Por: Zaman, Md. Sayeed Ibne, et al.
Publicado em: (2022)