Jack-Wells/Stock-market-prediction-NLP-BERT
Building a future stock market predictive model using text analysis by building a news article sentiment BERT model
This project helps financial analysts and traders predict future stock market movements by analyzing the sentiment of news articles. It takes news text as input and outputs a sentiment score that can be used to inform stock market predictions. Individuals involved in financial trading, investment, or market analysis would find this tool useful.
No commits in the last 6 months.
Use this if you want to incorporate news sentiment into your stock market prediction models to potentially improve accuracy.
Not ideal if you're looking for a fully automated, real-time news scraping solution, as the built-in scraper is not recommended.
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Last pushed
Nov 11, 2020
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