EveSense: What Can You Sense from Twitter?
Published in In the proceedings of Advances in Information Retrieval, 2020
Recommended citation: Zafar Saeed, Rabeeh Abbasi, Imran Razzak, "EveSense: What Can You Sense from Twitter?." In the proceedings of Advances in Information Retrieval, 2020. https://doi.org/10.1007/978-3-030-45442-5_64
Social media has become a useful source for detecting real-life events. This paper presents an event detection application EveSense. It detects real-life events and related trending topics from the Twitter stream and allows users to find interesting events that have recently occurred. It uses a novel Dynamic Heartbeat Graph (DHG) approach, which efficiently extracts distinguishing features and performs better than the existing event detection methods. We tested and evaluated the application on three case studies, including a sports event (FA cup Final) and two political events (Super Tuesday and US Election).