Real Time Events Detection from the Twitter Data Stream: A Review
Keywords:
Twitter, Event Detection, Classification, Data Streams, VisualizationAbstract
The amount of data has increased over internet media at rapid pace due to the advances in communication technologies and incessant increase in smart phone users. Social media services have also played a significant role in generation of massive user data in recent past. Twitter is one of the most commonly used social media platform to share information through small amount of text termed as tweets. Accordingly, there has been a recent trend of knowledge discovery through such data streams generated at rapid pace. Researchers have targeted event detection from Twitter data streams like traffic hazards detection, hurricane detection and crimes event detection. In this research study, recent approaches of event detection from Twitterdata streams are studied. A review of these techniques in terms of event detection methods, geo-location detection and visualization ability is presented. A critical review of these approaches with future research guidelines is also presented.
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