ArticleEntropy (Basel, Switzerland)2019
Price Movement Prediction of Cryptocurrencies Using Sentiment Analysis and Machine Learning.
Article in Entropy (Basel, Switzerland), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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Who cites it
15 citing papers in PubMed.
- Attention-augmented hybrid CNN-LSTM model for social media sentiment analysis in cryptocurrency investment decision-making.Scientific reports · 2025Article
- Information Theory Quantifiers in Cryptocurrency Time Series Analysis.Entropy (Basel, Switzerland) · 2025Article
- TASCI: transformers for aspect-based sentiment analysis with contextual intent integration.PeerJ. Computer science · 2025Article
- Development of a cryptocurrency price prediction model: leveraging GRU and LSTM for Bitcoin, Litecoin and Ethereum.PeerJ. Computer science · 2025Article
- Database comments on Telegram channels related to cryptocurrencies with sentiments.BMC research notes · 2024Article
- Cryptocurrency Turmoil: Unraveling the Collapse of a Unified Stablecoin (USTC) through Twitter as a Passive Sensor.Sensors (Basel, Switzerland) · 2024Article
- Deals of a feather… Modelling latent classes in R&D collaboration data using finite mixture analysis.PloS one · 2024Article
- Predicting Bitcoin Prices Using Machine Learning.Entropy (Basel, Switzerland) · 2023Article
- A systematic review of social network sentiment analysis with comparative study of ensemble-based techniques.Artificial intelligence review · 2023Article
- Investigating Deep Stock Market Forecasting with Sentiment Analysis.Entropy (Basel, Switzerland) · 2023Article
- A performance comparison of machine learning models for stock market prediction with novel investment strategy.PloS one · 2023Article
- A Bayesian-based classification framework for financial time series trend prediction.The Journal of supercomputing · 2023Article
- Observing Cryptocurrencies through Robust Anomaly Scores.Entropy (Basel, Switzerland) · 2022Article
- Conducting Causal Analysis by Means of Approximating Probabilistic Truths.Entropy (Basel, Switzerland) · 2022Article
- A Labeling Method for Financial Time Series Prediction Based on Trends.Entropy (Basel, Switzerland) · 2020Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Cryptocurrencies are becoming increasingly relevant in the financial world and can be considered as an emerging market. The low barrier of entry and high data availability of the cryptocurrency market makes it an excellent subject of study, from which it is possible to derive insights into the behavior of markets through the application of sentiment analysis and machine learning techniques for the challenging task of stock market prediction. While there have been some previous studies, most of them have focused exclusively on the behavior of
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.