Detecting Real-Time Correlated Simultaneous Events in Microblogs: The Case of Men’s Olympic Football

Samer Sarsam, Hosam Al-Samarraie, Nurhidayah Bahar, Abdul Samad Shibghatullah, Atef Eldenfria, Ahmed Al-Sa’Di

Research output: Chapter in Book/Report/Conference proceedingConference proceedingpeer-review

4 Citations (Scopus)

Abstract

Although many predictive models have been designed to detect realtime events, there is still little progress in characterizing simultaneous events. Simultaneous events found in the sport domain can be used to understand how several correlated incidents occur at the same time to describe a specific phenomenon. We proposed a novel mechanism that uses Twitter messages in order to predict emotions associated with the final football match between Brazil and Germany in Rio Olympics 2016. Users’ opinions and their sentiments were extracted from the obtained tweets using the K-means clustering algorithm and the SentiStrength technique. We also applied the “Multi-label” classification technique in conjunction with the “Binary Relevance” (BR) method. The results showed that NaiveBayes was able to predict the match outcomes and related emotions with an accuracy value of 81% and a hamming loss value of 16%. This study provides a robust approach to successfully detect real-time events using social media platforms. It also helps football clubs to characterize matches during the time span of the game. Finally, the proposed method contributes to the decision-making process in the sport domain
Original languageEnglish
Title of host publicationHCI in Games: Experience Design and Game Mechanics
EditorsXiaowen Fang
PublisherSpringer, Cham
Pages368–377
Number of pages10
Edition1
ISBN (Electronic)978-3-030-77277-2
ISBN (Print)978-3-030-77276-5
DOIs
Publication statusPublished - 3 Jul 2021
Event23rd International Conference on Human-Computer Interaction - Virtual, United States
Duration: 24 Jul 202129 Jul 2021
https://2021.hci.international

Publication series

NameLecture Notes in Computer Science
PublisherSpringer
Volume12789
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference23rd International Conference on Human-Computer Interaction
Abbreviated titleHCI 2021
Country/TerritoryUnited States
Period24/07/2129/07/21
Internet address

Bibliographical note

© 2021 Springer Nature Switzerland AG

Keywords

  • Twitter
  • Emotion
  • Football
  • Multi-label classification
  • Sentiment analysis

Fingerprint

Dive into the research topics of 'Detecting Real-Time Correlated Simultaneous Events in Microblogs: The Case of Men’s Olympic Football'. Together they form a unique fingerprint.

Cite this