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