See stock sentiment for all stocks in the S&P 500. Uses NLP machine learning on web scraped Tweets.

Link: http://marketeye.us

YouTube Video Showcase: https://youtu.be/12SLd-mnxBs

• tasks.py cycles through all of the stocks in the S&P 500 (spy_list.csv)
• Each stock has recent and top tweets webscraped from Twitter in webscraper.py
• Each Tweet is cleaned and then run into SentimentClass within machine_learning.py
• The NLP (natural language processing) algorithm classifies every Tweet as positive or negative
• All of this data is written to ~1000 CSV files,
• When a user searches up a specific stock, the data is retrieved from the accompanying CSV files!