Visual analytics for machine learning has recently evolved as one of the most exciting areas
in the field of visualization. To better identify which research topics are promising and to …

Visualization of sentiments and opinions extracted from or annotated in texts has become a
prominent topic of research over the last decade. From basic pie and bar charts used to …

One major cause of performance degradation in predictive models is that the test samples
are not well covered by the training data. Such not well-represented samples are called OoD …

Visual text analytics has recently emerged as one of the most prominent topics in both
academic research and the commercial world. To provide an overview of the relevant …

Event sequences analysis plays an important role in many application domains such as
customer behavior analysis, electronic health record analysis and vehicle fault diagnosis …

In this systematic review, Kitchenham's framework is used to explore what tasks, techniques,
and benchmarks for Sentiment Analysis have been developed for addressing topics about …

We introduce SentenTree, a novel technique for visualizing the content of unstructured
social media text. SentenTree displays frequent sentence patterns abstracted from a corpus …

Analyzing social streams is important for many applications, such as crisis management.
However, the considerable diversity, increasing volume, and high dynamics of social …

This paper presents a visual analytics approach to analyzing a full picture of relevant topics
discussed in multiple sources, such as news, blogs, or micro-blogs. The full picture consists …

Visual query of spatiotemporal data is becoming an increasingly important function in visual
analytics applications. Various works have been presented for querying large …