Deakin University
Browse
DOCUMENT
razzak-evesense-2020.pdf (2.06 MB)
DOCUMENT
razzak-evesense-post-2020.pdf (1.45 MB)
1/0
2 files

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

Pagination

491-495

Location

Lisbon, Portugal

Open access

  • Yes

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

Event

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

Publisher

Springer

Place of publication

Cham, Switzerland

Series

Lecture Notes in Computer Science; 12036

Usage metrics

    Research Publications

    Categories

    No categories selected

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC