Event Detection Based on Semantic Terms from Social Data Stream

Ahmed Gamal, Hatem Abdelkader, Amira Abdelwahab

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

Abstract

Event detection is an interesting area of study that has taken a great deal of attention throughout the last years due to the extensive social media data availability. Problems with event detection have been explored in various social media sources such as Twitter, Flickr, YouTube, and Facebook. The event Detection process includes many challenges, including processing huge volumes of information and high noise levels. The event depends on many basic determinants of which are what, where, and when. Tweets that express a real-world event include semantic terms that match these determinants. The paper presents an incremental approach to clustering based on these determinants and semantic terms that express an event to detect social media events, especially from Twitter. The event detection framework includes three main components: pre-processing, on-line clustering, and event search and detection modules. By implementing some experiments on the proposed framework using a set of large and real-world data, it becomes clear to us that the results are positive. The framework detects events effectively from Twitter compared to other approaches.

Original languageEnglish
Title of host publicationAdvanced Machine Learning Technologies and Applications - Proceedings of AMLTA 2021
EditorsAboul-Ella Hassanien, Kuo-Chi Chang, Tang Mincong
PublisherSpringer Science and Business Media Deutschland GmbH
Pages478-487
Number of pages10
ISBN (Print)9783030697167
DOIs
Publication statusPublished - 2021
Event6th International Conference on Advanced Machine Learning Technologies and Applications, AMLTA 2021 - Virtual, Online
Duration: 22 Mar 202124 Mar 2021

Publication series

NameAdvances in Intelligent Systems and Computing
Volume1339
ISSN (Print)2194-5357
ISSN (Electronic)2194-5365

Conference

Conference6th International Conference on Advanced Machine Learning Technologies and Applications, AMLTA 2021
CityVirtual, Online
Period22/03/2124/03/21

Keywords

  • Event detection
  • Incremental clustering
  • Machine learning
  • Semantic terms
  • Twitter

Fingerprint Dive into the research topics of 'Event Detection Based on Semantic Terms from Social Data Stream'. Together they form a unique fingerprint.

Cite this