… Users are using Twitter to report real-life events. This paper focuses on detecting those events
by analyzing the text stream in Twitter. Although event detection has long been a research …

… This section describes various techniques proposed for event detection from Twitter streams…
type of event, detection task, and detection methods. Depending on the type of events, these …

… This paper suggests an alternative methodology for event detection using space-time scan
statistics (STSS). This technique looks for clusters within the dataset across both space and …

… event detection and topic model-based document summarization methods. Section 3 formally
formulates our social event detection … our new approach to social event detection and hash-…

… close to the location of an event serve as human sensors to describe an event. In this … detect
localized events in real-time from a Twitter stream and to track the evolution of such events …

… a new definition of event which better fits how Twitter is used to discuss events. We then study
… examine event detection on Twitter, and more precisely define the task of event detection. …

… event detection approach that can both effectively detect events within social streams like
Twitter … Through experimentation on a large Twitter dataset, we show that our approach can …

… approaches adopted for event detection from microblogs. The approaches are reviewed
according to the techniques used, applications and the element detected (event or topic). …

The millions of tweets submitted daily overwhelm users who find it difficult to identify content
of interest revealing the need for event detection algorithms in Twitter. Such algorithms are …

… -based global event detection model that captures the uncertainty in the Twitter data. This …
performance (F1-score) of the event detection process. The details of the research objectives …