论文标题
考虑到社交情感的比特币价格的预测分析
Predictive analysis of Bitcoin price considering social sentiments
论文作者
论文摘要
我们报告新闻和社交媒体上的情感分析来分析和预测比特币的价格。比特币是领先的加密货币，在数字货币中具有最高的市值。预测比特币价值可能有助于理解和预测技术的潜在市场运动和未来的增长。与天气这样的重复现象（主要）重复现象不同，加密货币值不会遵循重复模式，而仅比特币的过去值并未揭示未来比特币价值的任何秘密。人类遵循一般的情感和技术分析以投资市场。因此，考虑到人们的情绪可以给出很好的预测。我们专注于使用社交情绪作为预测未来比特币价值的功能，尤其是考虑Google News和Reddit帖子。我们发现，社交情绪很好地估计了未来的比特币价值观。我们使用LSTM实现了434.87的最低测试RMSE，该LSTM将各种加密货币的历史价格，新闻文章的情感和Reddit帖子的观点提供了投入。
We report on the use of sentiment analysis on news and social media to analyze and predict the price of Bitcoin. Bitcoin is the leading cryptocurrency and has the highest market capitalization among digital currencies. Predicting Bitcoin values may help understand and predict potential market movement and future growth of the technology. Unlike (mostly) repeating phenomena like weather, cryptocurrency values do not follow a repeating pattern and mere past value of Bitcoin does not reveal any secret of future Bitcoin value. Humans follow general sentiments and technical analysis to invest in the market. Hence considering people's sentiment can give a good degree of prediction. We focus on using social sentiment as a feature to predict future Bitcoin value, and in particular, consider Google News and Reddit posts. We find that social sentiment gives a good estimate of how future Bitcoin values may move. We achieve the lowest test RMSE of 434.87 using an LSTM that takes as inputs the historical price of various cryptocurrencies, the sentiment of news articles and the sentiment of Reddit posts.
