Skip to content

afishr/rtp-streams-ex

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

33 Commits
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

RTP Course. Spring 2021.

Streaming Twitter sentiment analysis system

Description

Application fetches streams from 2 endpoints and through Router redirect them to Analyzers of sentiments & engagement scores in parallel. After that computed data in directed to Aggregator where it is combined by unique tweet ID and saved in Database and sending tweets to Message Broker on topic tweeter

Running

  1. Run docker containers with $ docker-compose up -d
  2. Connect to message broker through netcat on port 6666
  3. Subscribe to topic tweeter to receive tweets from Analyzer

Demo

Video Demo

About

Real Time Programming Course

Topics

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published