论文标题
使用自然语言处理预测数字资产价格：调查
Predicting Digital Asset Prices using Natural Language Processing: a survey
论文作者
论文摘要
区块链技术改变了人们对如何存储和交易资产的思考，因为它向我们介绍了一种全新的交易方式：使用数字货币。区块链技术的主要创新之一是权力下放，这意味着在此过程中消除了传统的金融中介机构，例如资产支持的安全发行人和银行。尽管区块链技术已在广泛的行业中使用，但其最突出的应用仍然是加密货币，比特币是第一个提议的。在2021年的高峰期，比特币的市值曾经超过1万亿美元。加密市场的开放性质对潜在的散户投资者和机构投资者构成了各种挑战和关注，因为投资的价格高度波动，并且其波动是不可预测的。机器学习的兴起和自然语言处理的兴起已经阐明了监视和预测加密货币的价格行为。本文旨在审查和分析应用机器学习和自然语言处理方法的最新工作，以预测价格并分析比特币和以太坊等数字资产的行为。
Blockchain technology has changed how people think about how they used to store and trade their assets, as it introduced us to a whole new way to transact: using digital currencies. One of the major innovations of blockchain technology is decentralization, meaning that traditional financial intermediaries, such as asset-backed security issuers and banks, are eliminated in the process. Even though blockchain technology has been utilized in a wide range of industries, its most prominent application is still cryptocurrencies, with Bitcoin being the first proposed. At its peak in 2021, the market cap for Bitcoin once surpassed 1 trillion US dollars. The open nature of the crypto market poses various challenges and concerns for both potential retail investors and institutional investors, as the price of the investment is highly volatile, and its fluctuations are unpredictable. The rise of Machine Learning, and Natural Language Processing, in particular, has shed some light on monitoring and predicting the price behaviors of cryptocurrencies. This paper aims to review and analyze the recent efforts in applying Machine Learning and Natural Language Processing methods to predict the prices and analyze the behaviors of digital assets such as Bitcoin and Ethereum.
