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arXiv 2005.07849cs.SIcs.CY
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一张图片的话!大数据分析中的文本可视化

A Picture for the Words! Textual Visualization in Big Data Analytics

Cherilyn Conner, Jim Samuel, Andrey Kretinin, Yana Samuel, Lee Nadeau

摘要:

数据可视化已经成为大数据分析的一个重要方面,并且在复杂性和多样性方面有所增长。我们特别确定需要一个分析框架的数据可视化与文本信息。数据可视化是表示数据的强大机制,但需要更好地理解和分类特定图形表示的使用,以验证文本数据上下文中的适当表示,并避免底层文本数据的扭曲解释。我们确定突出的文本数据可视化方法,并讨论其特点。我们讨论了在文本数据可视化中使用多种图形类型,包括使用数量,意义,趋势和上下文文本数据可视化。我们创建了一个解释性的分类框架,以独特的方式定位文本数据可视化,以便提供见解并协助适当的方法或图形表示分类。

英文摘要:

Data Visualization has become an important aspect of big data analytics and has grown in sophistication and variety. We specifically identify the need for an analytical framework for data visualization with textual information. Data visualization is a powerful mechanism to represent data, but the usage of specific graphical representations needs to be better understood and classified to validate appropriate representation in the contexts of textual data and avoid distorted depictions of underlying textual data. We identify prominent textual data visualization approaches and discuss their characteristics. We discuss the use of multiple graph types in textual data visualization, including the use of quantity, sense, trend and context textual data visualization. We create an explanatory classification framework to position textual data visualization in a unique way so as to provide insights and assist in appropriate method or graphical representation classification.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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