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Real time market sentiment analysis dashboard (ML ops/dashbording)
Using twitter API and a custom home made yahoo finance scraper to get stock tweets and prices. For real-time processing we opted for Kafka and used Bert as a sentiment analysis model. The front was built with streamlit and connected to postgres database.
Env & tools: kafka, postgres, python, streamlit
Using twitter API and a custom home made yahoo finance scraper to get stock tweets and prices. For real-time processing we opted for Kafka and used Bert as a sentiment analysis model. The front was built with streamlit and connected to postgres database.
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