TexTonic is a visual analytic system for interactive exploration of very large unstructured text collections. TexTonic visualizes hierarchical clusters of representative terms, snippets, and documents in a single, multi-scale spatial layout. Exploration is supported by interacting with the visualization and directly manipulating the terms in the visualization using semantic interactions. These semantic interactions steer the underlying analytic model by translating user interactions within the visualization to contextual updates to the supporting data model. The combination of semantic interactions and information visualization at multiple levels of the data hierarchy helps users manage information overload so that they can more effectively explore very large text collections. In this article, we describe TexTonic’s data processing and analytic pipeline, user interface and interaction design principles, and results of a user study conducted mid-development with experienced data analysts. We also discuss the implications TexTonic could have on visual exploration and discovery tasks.

中文翻译：

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TexTonic：用于探索和发现超大文本集合的交互式可视化

TexTonic 是一个可视化分析系统，用于对非常大的非结构化文本集合进行交互式探索。TexTonic 在单个多尺度空间布局中可视化具有代表性的术语、片段和文档的分层集群。通过与可视化交互并使用语义交互直接操纵可视化中的术语来支持探索。这些语义交互通过将可视化中的用户交互转换为支持数据模型的上下文更新来引导底层分析模型。在数据层次结构的多个级别上将语义交互和信息可视化相结合，帮助用户管理信息过载，以便他们可以更有效地探索非常大的文本集合。在本文中，我们描述了 TexTonic 的数据处理和分析管道、用户界面和交互设计原则，以及与经验丰富的数据分析师在开发中期进行的用户研究的结果。我们还讨论了 TexTonic 对视觉探索和发现任务的影响。