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.

Date

2013

Authors

Fred Morstatter, Shamanth Kumar, Huan Liu, Ross Maciejewski

Conference

19th ACM SIGKDD Conference on Knowledge Discovery and Data Mining

Pages

1482-1485

Publisher

ACM