Much research has been reported on visual text analytics for plain text documents viewed in traditional analytic settings. In this workshop, we would like to push the boundary of visual text analytics toward heterogeneous textual data (text associated with other data types) and ubiquitous text analytics. First, we would like to use the workshop to collect various use cases about heterogeneous data and ubiquitous text analytics. From the use cases, we hope to better understand the requirements of heterogeneous textual data analysis from a task-driven perspective. Second, based on the use cases, we would like to use this workshop to examine how to best leverage state-of-the-art text analytics and traditional data mining techniques in conjunction with novel interactive visual analytics to address the challenges manifested by the collected use cases.