Understanding Twitter data with TweetXplorer

Authors:
Fred Morstatter;Shamanth Kumar;Huan Liu;Ross Maciejewski
Affiliations:
Arizona State University, Tempe, AZ, USA;Arizona State University, Tempe, AZ, USA;Arizona State University, Tempe, AZ, USA;Arizona State University, Tempe, AZ, USA
Venue:
Proceedings of the 19th ACM SIGKDD international conference on Knowledge discovery and data mining
Year:
2013

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Abstract

In the era of big data it is increasingly difficult for an analyst to extract meaningful knowledge from a sea of information. We present TweetXplorer, a system for analysts with little information about an event to gain knowledge through the use of effective visualization techniques. Using tweets collected during Hurricane Sandy as an example, we will lead the reader through a workflow that exhibits the functionality of the system.