In this project, I built a Dockerized Data Pipeline that collect tweets that mention 'Python' and stores them in Mongo database. Next, the sentiment of tweets is analyzed and the annotated tweets are stored in Postgres database. Finally, I built a Slack-Bot, that publishes the latest tweet with sentiment score every 15 seconds.
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Dockerized Data Pipeline that analyzes the sentiment of tweets and a Slack Bot that publishes selected tweets
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dashnak90/Docker-Twitter-pipeline
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Dockerized Data Pipeline that analyzes the sentiment of tweets and a Slack Bot that publishes selected tweets
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