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 |
|---|---|
| Other Authors: | Hossain, Muhammad Iqbal |
| Format: | Thesis |
| Language: | English |
| Published: |
Brac University
2023
|
| Subjects: | |
| Online Access: | http://hdl.handle.net/10361/19233 |
Similar Items
-
Sentiment analysis using R: an approach to correlate bitcoin price fluctuations with change in user sentiments
by: Rahman, Shaomi, et al.
Published: (2018) -
Physical currency or crypto currency, which one will be better for our economy?
by: Rohan, Raian Kibria, et al.
Published: (2024) -
Cryptocurrency price prediction and forecasting using machine learning algorithm and long- short term memory mapping
by: Zaman, Md. Sayeed Ibne, et al.
Published: (2022) -
A framework for sentiment analysis: a data-driven approach
by: Islam, Md. Jahedul, et al.
Published: (2021) -
A sustainable Bitcoin architecture
by: Monem, Maruf
Published: (2022)