2019
DOI: 10.1007/s10723-019-09482-2
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What’s Happening Around the World? A Survey and Framework on Event Detection Techniques on Twitter

Abstract: In the last few years, Twitter has become a popular platform for sharing opinions, experiences, news, and views in real-time. Twitter presents an interesting opportunity for detecting events happening around the world. The content (tweets) published on Twitter are short and pose diverse challenges for detecting and interpreting event-related information. This article provides insight into ongoing research. It explores recent research trends and techniques for event detection using Twitter data. We classify tec… Show more

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Cited by 67 publications
(41 citation statements)
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References 100 publications
(222 reference statements)
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“…It strives to solve realistic problems by applying machine learning algorithms and data mining approaches. The applications include fraud detection (Jain and Gupta 2019), problem handling of unstructured data (Amalina et al 2020), disease comorbidity prediction (Lakshmi and Vadivu 2019), Internet of Things (IoT) (ur Rehman et al 2019), Industrial Internet of Things (IIoT) (ur Rehman et al 2018), real-time anomaly detection (Ariyaluran Habeeb et al 2019;Habeeb et al 2019), preventive medicine using big data (Razzak et al 2019), and event detection (Saeed et al 2019). NTL identification is an application of fraud detection (Han and Xiao 2019).…”
Section: Related Workmentioning
confidence: 99%
“…It strives to solve realistic problems by applying machine learning algorithms and data mining approaches. The applications include fraud detection (Jain and Gupta 2019), problem handling of unstructured data (Amalina et al 2020), disease comorbidity prediction (Lakshmi and Vadivu 2019), Internet of Things (IoT) (ur Rehman et al 2019), Industrial Internet of Things (IIoT) (ur Rehman et al 2018), real-time anomaly detection (Ariyaluran Habeeb et al 2019;Habeeb et al 2019), preventive medicine using big data (Razzak et al 2019), and event detection (Saeed et al 2019). NTL identification is an application of fraud detection (Han and Xiao 2019).…”
Section: Related Workmentioning
confidence: 99%
“…-One may want to query, in real time, about the top-2 most frequent political hashtags of twitter [164] every 10 minutes, to predict a political campaign. -Obtaining, in real time, the top-5 frequent products consulted by users in Amazon.com every minute, to promote sales.…”
Section: Challengesmentioning
confidence: 99%
“…Artificial intelligence (e.g., machine learning and deep learning) approaches are increasingly popular in the literature [3,140,164,166,207]. Examples of machine learning and deep learning approaches include random forests, gradient boosting, convolutional neural networks, and pattern recognition.…”
Section: Introductionmentioning
confidence: 99%
“…Social media is the fastest breaking news reporting media and provides plenty of ways to share information [6]. Twitter is one of the most popular social media.…”
Section: Introductionmentioning
confidence: 99%