论文标题
单词的图片！大数据分析中的文本可视化
A Picture for the Words! Textual Visualization in Big Data Analytics
论文作者
论文摘要
数据可视化已成为大数据分析的重要方面，并且在复杂和多样性方面发展。我们特别确定了使用文本信息进行数据可视化的分析框架的需求。数据可视化是一种强大的机制来表示数据，但是需要更好地理解和分类特定的图形表示形式，以在文本数据的上下文中验证适当的表示形式，并避免对基本文本数据的扭曲描述。我们确定突出的文本数据可视化方法并讨论其特征。我们在文本数据可视化中讨论多种图类型的使用，包括使用数量，感官，趋势和上下文文本数据可视化。我们创建一个解释性的分类框架，以独特的方式将文本数据可视化定位，以提供见解并协助适当的方法或图形表示分类。
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.
