crypto_sentiment_analysis_project

Final project for Ironhack Data Analytics Bootcamp: Compare correlation of the price performance of a cryptocurrency with the sentiment of over 20,000 Tweets.

1. Refer to crypto_sentiment_st.py file to deploy app on your web browser via Streamlit
2. Install libraries: pip install streamlit, pip install flair
3. Run streamlit app in command prompt -> streamlit run crypto_sentiment_st.py (Easier to run on Conda Environment)
4. Boring option - Run project on Jupyter Notebook with .ipynb file.

Source: https://towardsdatascience.com/sentiment-analysis-for-stock-price-prediction-in-python-bed40c65d178