使用TweetXplorer理解Twitter数据

Proceedings of the 19th ACM SIGKDD international conference on Knowledge discovery and data mining Pub Date : 2013-08-11 DOI:10.1145/2487575.2487703

Fred Morstatter, Shamanth Kumar, Huan Liu, Ross Maciejewski

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引用次数: 76

摘要

在大数据时代，分析人员越来越难以从海量信息中提取有意义的知识。我们提出了TweetXplorer，这是一个系统，供分析人员通过使用有效的可视化技术来获取有关事件的信息。以飓风桑迪期间收集的tweet为例，我们将引导读者通过展示系统功能的工作流。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Understanding Twitter data with TweetXplorer

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.

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Proceedings of the 19th ACM SIGKDD international conference on Knowledge discovery and data mining

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