StockMarketTwitterSentiment

This project involves scraping twitter data using the Twint libray, performing sentiment analysis on this data, and making predictions using a Time Series Neural Network.

Files

There are three main Jupyter Notebooks associated with this project:

• CollectTwitterData.py houses functions used to collect data
• TwitterSentimentAnalysis uses a bag-of-words approach to perform a sentiment analysis on the Twitter data
• TimeSeriesNN.ipynb predicts the DJIA using the sentiment analysis we've collected.