CBITS: Crypto BERT Incorporated Trading System
Author:
Affiliation:
1. Department of Computer Science and Engineering, Korea University, Seoul, South Korea
2. MindsLab, Seongnam-si, Gyeonggi-do, South Korea
3. HighDev, Synotex, Busan, South Korea
Funder
Ministry of Science and Information and Communications Technology (MSIT), South Korea, under the Information Technology Research Center
Institute for Information and Communications Technology Planning and Evaluation
Korean Government (MSIT)
Basic Science Research Program through the National Research Foundation of Korea
Ministry of Education
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering
Link
http://xplorestaging.ieee.org/ielx7/6287639/10005208/10014986.pdf?arnumber=10014986
Reference41 articles.
1. Cryptocurrency price prediction using tweet volumes and sentiment analysis;Abraham;SMU Data Sci. Rev.,2018
2. FinBERT: Financial sentiment analysis with pre-trained language models;Araci;arXiv:1908.10063,2019
3. TabNet: Attentive Interpretable Tabular Learning
4. Stacking with Neural Network for Cryptocurrency investment
5. Ensemble and multimodal approach for forecasting cryptocurrency price;Boukhers;arXiv:2202.08967,2022
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3. Enhancing Zero-Shot Crypto Sentiment With Fine-Tuned Language Model and Prompt Engineering;IEEE Access;2024
4. Pump It: Twitter Sentiment Analysis for Cryptocurrency Price Prediction;Risks;2023-09-04
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