Visual Text Analytics

大数据问题被认为是当今发达社会面临的全球性战略挑战之一。挖掘、理解和使用文本数据是大数据的核心：文本无处不在，其自由结构带来的挑战远远超出了数值数据分析的现有挑战。该提案认识到可视化文本分析（VTA）是解决大文本数据的新兴工具。VTA在一个循环中进行：首先分析，显示重要内容，缩放，过滤和进一步分析。拟议的研究方案将涉及这一周期的所有要素。我们将研究新的语言信息文本模型，表示和转换，新的文本分析技术（特别是随着数据在永无止境的流中增长），以及可视化文本分析结果的新方法。 重点将放在解决方案，规模扩大，并在现实生活中，工业相关的应用程序验证。

The Big Data problem is recognized as one of the global, strategic challenges facing the developed societies of today. Mining, understanding, and using text data is at the centre of Big Data: text is ubiquitous, and its free structure presents challenges far beyond those existing for numerical data analytics. This proposal recognizes that Visual Text Analytics (VTA) is the emerging tool to address Big Text Data. VTA proceeds in a cycle: Analyze first, Show the Important, Zoom, Filter, and Analyze further. The proposed research program will address all the elements of this cycle. We will investigate new linguistically-informed text models, representations and transformations, new text analytics techniques (particularly as the data grows in a never-ending stream), and novel ways to visualize the results of text analytics. Emphasis will be on solutions that scale-up and are verified in real-life, industrially-relevant applications.