Published May 20, 2018 | Version v1
Conference paper Open

Online clustering and classification for real-time event detection in Twitter

  • 1. Istituto Superiore Mario Boella


Event detection from social media is a challenging task due to the volume, the velocity and the variety of
user-generated data requiring real-time processing. Despite recent works on this subject, a generalized and scalable
approach that could be applied across languages and topics has not been consolidated, yet. In this paper, we propose
a methodology for real-time event detection from Twitter data that allows users to select a topic of interest by
defining a simple set of keywords and a matching rule. We implement the proposed methodology and evaluate it
with real data to detect different types of events.



Files (894.6 kB)

Name Size Download all
894.6 kB Preview Download

Additional details


I-REACT – Improving Resilience to Emergencies through Advanced Cyber Technologies 700256
European Commission