Understanding Twitter Data with TweetXplorer

被引：0

作者：

Morstatter, Fred ^{[1
]}

Kumar, Shamanth ^{[1
]}

Liu, Huan ^{[1
]}

Maciejewski, Ross ^{[1
]}

机构：

[1] Arizona State Univ, Sch Comp Informat & Decis Syst Engn, Tempe, AZ 85287 USA

来源：

19TH ACM SIGKDD INTERNATIONAL CONFERENCE ON KNOWLEDGE DISCOVERY AND DATA MINING (KDD'13) | 2013年

关键词：

Twitter Visualization; Retweet Network; Geospatial Analysis; Big Data;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

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.

引用

页码：1482 / 1485

页数：4

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