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SentimentalStock

HackGT6 Data Analytics + Web Dev Project

To use the StreamLit web application, download StreamLit Web App.py, cd to the file from the terminal and use the command: streamlit run StreamLit\ Web\ App.py

This will run the locally hosted web application where you can enter a company name and obtain a visual of sentiments over time and small summary paragraph.

Here's a sample analysis:

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HackGT6 Data Analytics + Web Dev Project which applies web scraping, NLP/Sentiment Analysis tools, Data Visualization, and web hosting (through StreamLit). Project inspired from the GitHub repo of jasonyip184, "StockSentimentTrading"

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