Python application that continuously analyzes tweets about underground system of Madrid city (Metro Madrid) in order to detect faults and disruptions in the service.

The architecture is based in micro-services connected between each other using Apache Kafka. The tweets are gathered using the Twitter real-time streaming API and analysed using Spacy.

The code can be found here: https://github.com/adrigrillo/metro-miner