Hybrid LSTM and GRU for Cryptocurrency Price Forecasting Based on Social Network Sentiment Analysis Using FinBERT

Author:

Girsang Abba Suganda1ORCID,Stanley 1

Affiliation:

1. Computer Science Department, BINUS Graduate Program-Master of Computer Science, Bina Nusantara University, Jakarta, Indonesia

Funder

Bina Nusantara University, Jakarta, Indonesia

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Reference34 articles.

1. Cryptocurrency market structure: connecting emotions and economics

2. Factors influencing cryptocurrency prices: Evidence from Bitcoin, Ethereum, Dash, Litcoin, and Monero;sovbetov;Journal of Economics and Financial Analysis,2018

3. Using sentiment analysis to predict interday Bitcoin price movements

4. What Drives Cryptocurrency Prices?

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. LLMs and NLP Models in Cryptocurrency Sentiment Analysis: A Comparative Classification Study;Big Data and Cognitive Computing;2024-06-05

2. Twitter Scraping and Sentiment Analysis on Stock Price;2024 International Conference on Advances in Data Engineering and Intelligent Computing Systems (ADICS);2024-04-18

3. Dogecoin price prediction – Through Utilization of XGBoost Model & GridSearchCV Classification Technique;2024 IEEE 9th International Conference for Convergence in Technology (I2CT);2024-04-05

4. Ethereum Cryptocurrency Prediction using ML procedures on Recurrent Neural Network using LSTM Model;2023 3rd International Conference on Smart Generation Computing, Communication and Networking (SMART GENCON);2023-12-29

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