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Journal Title
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Reale, Michael J., Confer, Amos, Urban, Christopher
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Spring 2022
Publication Date
2022-05-12
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Abstract
This work presents multiple Long Short-Term Memory neural networks used in conjunction with sentiment analysis to predict stock prices over time. Multiple datasets and
input features are used on a LSTM model to decipher which features produce the best
output predictions and if there is correlation to the sentiment of posts and the rising of a
stock. This project uses embedding based sentiment analysis on a dataset collected from
Kaggle which includes over one million posts made on the subreddit r/wallstreetbets. This
subreddit recently came under fire by the media with the shorting of Gamestop in the stock
market. It was theorized that this subreddit was working as a collective to drive up the
price of multiple stock, therefore hurting large corporations such as hedge funds that had
large short positions on multiple stocks.