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Live stream tweets based on keywords to database using SQLAlchemy. Tweets are assigned a sentiment score and data is presented via streamlit.

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streamlit-twitter-stream

Live stream tweets based on keywords to database using SQLAlchemy. Tweets are assigned a sentiment score and data is presented via streamlit.

Requiremnts

Use the package manager pip to install requirements.

pip install -r requirements.txt

Usage

Environment variables must be set as per config.py for DB and Tweepy settings.

Streaming:

python run_stream.py "Keyword1,Keyword2"

Streamlit app

streamlit run app,py

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Live stream tweets based on keywords to database using SQLAlchemy. Tweets are assigned a sentiment score and data is presented via streamlit.

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  • Python 100.0%