<italic>DL-GuesS</italic>: Deep Learning and Sentiment Analysis-Based Cryptocurrency Price Prediction
Cryptocurrencies are peer-to-peer-based transaction systems where the data exchanges are secured using the secure hash algorithm (SHA)-256 and message digest (MD)-5 algorithms. The prices of cryptocurrencies are highly volatile and follow stochastic moments and have reached their unpredictable limit...
Main Authors: | Raj Parekh, Nisarg P. Patel, Nihar Thakkar, Rajesh Gupta, Sudeep Tanwar, Gulshan Sharma, Innocent E. Davidson, Ravi Sharma |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2022-01-01
|
Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/9745117/ |
Similar Items
-
LLMs and NLP Models in Cryptocurrency Sentiment Analysis: A Comparative Classification Study
by: Konstantinos I. Roumeliotis, et al.
Published: (2024-06-01) -
Fusion in Cryptocurrency Price Prediction: A Decade Survey on Recent Advancements, Architecture, and Potential Future Directions
by: Nisarg P. Patel, et al.
Published: (2022-01-01) -
Pump It: Twitter Sentiment Analysis for Cryptocurrency Price Prediction
by: Vladyslav Koltun, et al.
Published: (2023-09-01) -
Cryptocurrency – Sentiment Analysis in Social Media
by: Tudor-Mircea DULĂU, et al.
Published: (2020-02-01) -
Database comments on Telegram channels related to cryptocurrencies with sentiments
by: Kia Jahanbin, et al.
Published: (2024-05-01)