Simple fear & greed global index using social data.
Sentiment analysis is powered by Machinebox's textbox.
- Check your host configuration is OK for elasticsearch (if using swarm, all hosts which may run ES must have
vm.max_map_countset to at least 262144,sysctl -w vm.max_map_count=262144; see https://www.elastic.co/guide/en/elasticsearch/reference/current/docker.html ) - Edit
docker-compose.ymlto add your twitter credentials (TWITTER_*environment variables) and machinebox key (MB_KEY) - Use docker swarm or docker-compose to deploy this stack (
docker stack deploy -c docker-compose.yml sfgi) - Access kibana on port 80 (you can change it editing the
docker-compose.yml) - Use the index call "tweets"
This is the diagram of the components that are deployed:
