The project comprises a real-time tweets data pipeline, a sentimental analysis of the tweets module, and a Slack bot to post the tweets' sentiments. The project uses SentimentIntensityAnalyzer from the VaderSentiment library. The analyzer gives positive, negative, and compound scores for small texts (such as tweets in this case). The real-time d…
python slack docker data-science mongodb tweets sentiment-analysis pipeline slackbot docker-compose docker-image tweepy vader-sentiment-analysis data-pipeline replicaset shell-scripting machine-learning-engineering tweepy-api docker-file machine-learning-operations
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Updated
Jun 10, 2022 - Python