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Circle Graphs: New Visualization Tools for Text-Mining

机译:圆形图:用于文本挖掘的新可视化工具

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The proliferation of digitally available textual data necessitates automatic tools for analyzing large textual collections. Thus, in analogy to data mining for structured databases, text mining is defined for textual collections. A central tool in text-mining is the analysis of concept relationship, which discovers connections between different concepts, as reflected in the collection. However, discovering these relationships is not sufficient, as they also have to be presented to the user in a meaningful and manageable way. In this paper we introduce a new family of visualization tools, which we coin circle graphs, which provide means for visualizing concept relationships mined from large collections. Circle graphs allow for instant appreciation of multiple relationships gathered from the entire collection. A special type of circle-graphs, called Trend Graphs, allows tracking of the evolution of relationships over time.
机译:数字可用文本数据的增殖需要自动分析大型文本集合的工具。因此,与结构化数据库的数据挖掘类似,为文本集合定义了文本挖掘。文本挖掘中的一个核心工具是对概念关系的分析,它发现不同概念之间的连接,如集合所反映的。然而,发现这些关系是不够的,因为它们还必须以有意义和可管理的方式向用户呈现给用户。在本文中,我们介绍了我们硬币图形的新的可视化工具系列,这为可视化从大集合中开采的概念关系提供了手段。圆形图允许即时欣赏从整个集合收集的多个关系。一种特殊类型的圆形图,称为趋势图,允许跟踪关系的演变随着时间的推移。

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