利用挤出词云实现网络讨论的三级可视化

Pavol Fabo, Matej Novotny
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引用次数: 1

摘要

讨论可视化是信息可视化研究的热点。许多现有的方法从个体参与者的角度来探讨讨论,常常忽略了关于讨论本身的有趣信息。我们提出了一种可视化技术,围绕讨论,其动态,强度和主题的变化。文本流被划分为统一的时间跨度,这些时间跨度聚合了数据和文本分析器运行的位置。然后,使用三个不同层次的细节将讨论可视化。最上面的显示了一段时间内讨论发展的全局视图,中间的显示了讨论主要主题的内部视图,最下面的显示了各个词云。该技术在来自互联网中继聊天(IRC)的数据上进行了演示,但它可以用于任何与时间相关的文本数据的可视化分析,如电子邮件通信、搜索词、关键字等。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Three-level Visualization of Internet Discussion with Extruded Word Clouds
Visualization of discussions is an intensively explored information visualization area. Many existing approaches explore the discussions from the point of view of individual participants, often omitting interesting information about the discussion itself. We present a visualization technique that centers around the discussion, its dynamics, intensity and topic changes. The flow of the text is divided into uniform time spans that aggregate the data and where the text analyzer runs. Then, the discussion is visualized using three different levels of details. The topmost shows the global view of the discussion development over time, the middle shows an inside view on discussions' main topics, and the bottom level displays individual word clouds. The technique is demonstrated on data from an Internet Relay Chat (IRC) but it can be used for visual analysis of any time-dependent text data such as email communication, search terms, keywords and similar.
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