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EveSense: What Can You Sense from Twitter?

conference contribution
posted on 2020-01-01, 00:00 authored by Zafar Saeed, Rabeeh Ayaz Abbasi, Imran RazzakImran Razzak
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).

History

Event

Information Retrieval. European Conference (2020 : Lisbon, Portugal)

Series

Lecture Notes in Computer Science; 12036

Pagination

491 - 495

Publisher

Springer

Location

Lisbon, Portugal

Place of publication

Cham, Switzerland

Start date

2020-04-14

End date

2020-04-17

ISBN-13

9783030454425

Language

eng

Publication classification

E1 Full written paper - refereed

Title of proceedings

ECIR 2020 : Advances in Information Retrieval : Proceedings of the European Conference on Information Retrieval

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