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.
Asıl Yazarlar: | Rony, Ismail Hossain, Anik, Ahsan Ahmed, Asif, Abdullah Al, Muhammad, Sayeed |
---|---|
Diğer Yazarlar: | Mobin, Md.Iftekharul |
Materyal Türü: | Tez |
Dil: | English |
Baskı/Yayın Bilgisi: |
Brac University
2020
|
Konular: | |
Online Erişim: | http://hdl.handle.net/10361/13778 |
Benzer Materyaller
-
Conversion of Bengali speech to text using long short-term memory(LSTM)
Yazar:: Chowdhury, Mohammad Fahim, ve diğerleri
Baskı/Yayın Bilgisi: (2021) -
LSTM based content prediction for edge caching using federated learning approach
Yazar:: Mazumder, Shafkat Ahmed, ve diğerleri
Baskı/Yayın Bilgisi: (2021) -
Forecasting market movement in Dhaka Stock Exchange: LSTM vs. ARIMA
Yazar:: Chakraborty, Pranjal
Baskı/Yayın Bilgisi: (2019) -
An android application to predict human activity using a deep learning LSTM model
Yazar:: Sikder, Debabrata
Baskı/Yayın Bilgisi: (2024) -
Cryptocurrency price prediction and forecasting using machine learning algorithm and long- short term memory mapping
Yazar:: Zaman, Md. Sayeed Ibne, ve diğerleri
Baskı/Yayın Bilgisi: (2022)