Sentimental Analysis on sns to the market

(ongoing)

github: https://github.com/LazyDragon1123/sentimental_tweet_stock_prediction

Project vision: How do tweets associated to tickers (e.g.# AAPL) during the market closed the price movement on the next business days.

Data Collection: Using twitter API, I collected ~ 500k tweets with associated with hash tags of tickers.

Model: Using BERT or dictionary-based sentimental analysis, those tweets are ranked by (positive/ negative, that is, bullish/bearish).