Comments (1)
Update: Now focused on finding a way to filter out posts that refer to GME or GameStop and finding average sentiment for any given day, and comparing it to that day's historical GME stock price.
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Related Issues (5)
- clean_data: A function to featurize the data into a dataframe with desired features independently represented.
- sentiment_score: A function to calculate the sentiment of a given post
- train_network: A function to use the Pandas Dataframe in order to train a Feed-Forward model using the featurized data as well as the stock price on a given day to learn the relationship between any features and the actual stock price.
- populate_price: A function to add historical price data to the corresponding data for each reddit post within the Pandas Dataframe.
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