A scalable architecture for real-time analysis of microblogging data

This paper presents a scalable architecture for real-time analysis of microblogging data, with the ability to deal with large volumes of posts, by considering modular parallel workflows and was tested on a real-world use case to conduct sentiment analysis of Twitter posts during the 2013 Fifa Confederations Cup.