An example of Twitter realtime analysis with Kubernetes, Flink, Kafka, Kafka Connect, Cassandra, Elasticsearch/Kibana, Docker, Sentiment Analysis, Xgboost and Websockets

Twitter Realtime data pipeline

scrapy module for twitter streaming api with pusher realtime stream pipeline

Building a Pipeline to Collect and Analyze Twitter Comments About the Stock Market

Using Kafka to impliment a realtime twitter pipeline

A basic ETL pipeline concept project which collects realtime tweets from the Twitter API mentioning or from six selected world leaders. Assigns a sentiment score to these tweets and posts the best scoring and worst scoring tweet per hour to a Slack channel via Slack Bot.