EveSense: What Can You Sense from Twitter?

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 nove...

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Detalles Bibliográficos
Autores principales: Saeed, Zafar, Ayaz Abbasi, Rabeeh, Razzak, Imran
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7148100/
http://dx.doi.org/10.1007/978-3-030-45442-5_64
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author Saeed, Zafar
Ayaz Abbasi, Rabeeh
Razzak, Imran
author_facet Saeed, Zafar
Ayaz Abbasi, Rabeeh
Razzak, Imran
author_sort Saeed, Zafar
collection PubMed
description 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).
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spelling pubmed-71481002020-04-13 EveSense: What Can You Sense from Twitter? Saeed, Zafar Ayaz Abbasi, Rabeeh Razzak, Imran Advances in Information Retrieval Article 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). 2020-03-24 /pmc/articles/PMC7148100/ http://dx.doi.org/10.1007/978-3-030-45442-5_64 Text en © Springer Nature Switzerland AG 2020 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
spellingShingle Article
Saeed, Zafar
Ayaz Abbasi, Rabeeh
Razzak, Imran
EveSense: What Can You Sense from Twitter?
title EveSense: What Can You Sense from Twitter?
title_full EveSense: What Can You Sense from Twitter?
title_fullStr EveSense: What Can You Sense from Twitter?
title_full_unstemmed EveSense: What Can You Sense from Twitter?
title_short EveSense: What Can You Sense from Twitter?
title_sort evesense: what can you sense from twitter?
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7148100/
http://dx.doi.org/10.1007/978-3-030-45442-5_64
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