A deep learning approach to predict crypto-currency price by evaluating sentiment and stock market correlations
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2023.
Main Authors: | Maliha, Miftahul Zannat, Trisha, Ananya Subhra, Tamzid Khan, Abu Mauze, Das, Prasoon, Shakil, Shuhanur Rahman |
---|---|
其他作者: | Hossain, Muhammad Iqbal |
格式: | Thesis |
語言: | English |
出版: |
Brac University
2023
|
主題: | |
在線閱讀: | http://hdl.handle.net/10361/19233 |
相似書籍
-
Sentiment analysis using R: an approach to correlate bitcoin price fluctuations with change in user sentiments
由: Rahman, Shaomi, et al.
出版: (2018) -
Physical currency or crypto currency, which one will be better for our economy?
由: Rohan, Raian Kibria, et al.
出版: (2024) -
Cryptocurrency price prediction and forecasting using machine learning algorithm and long- short term memory mapping
由: Zaman, Md. Sayeed Ibne, et al.
出版: (2022) -
A framework for sentiment analysis: a data-driven approach
由: Islam, Md. Jahedul, et al.
出版: (2021) -
A sustainable Bitcoin architecture
由: Monem, Maruf
出版: (2022)