• Corpus ID: 33873494

Cryptocurrency Price Prediction Using News and Social Media Sentiment

@inproceedings{Lamon2017CryptocurrencyPP,
  title={Cryptocurrency Price Prediction Using News and Social Media Sentiment},
  author={Connor Lamon and Eric Nielsen and E Redondo},
  year={2017}
}
This project analyzes the ability of news and social media data to predict price fluctuations for three cryptocurrencies: bitcoin, litecoin and ethereum. Traditional supervised learning algorithms were utilized for text-based sentiment classification, but with a twist. Daily news and social media data was labeled based on actual price changes one day in the future for each coin, rather than on positive or negative sentiment. By taking this approach, the model is able to directly predict price… 

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