A known problem in information visualization labeling is when the text is too long to fit in the label space. There are some common known techniques used in order to solve this problem like setting a very small font size. ...

Many people, literary critics in particular, practice close reading, making annotations by hand while performing a detailed analysis of a text. Current digital tools for literary criticism,however, have many limitations ...

As information visualization is increasingly used to raise awareness about social issues, difficult questions arise about the power of visualization. So far the research community has not given sufficient thought to how ...

We present a novel approach to text visualization called descriptive non-photorealistic rendering which exploits the inherent spatial and abstract dimensions in text documents to integrate 3D non-photorealistic rendering ...

An important aspect of language learning is reading texts written in the learner’s second language (L2). However, reading can be a daunting task for language learners, as text may contain a large amount of unknown vocabulary. ...

The advent of large password leaks in recent years has exposed the security problems of passwords and enabled deeper empirical investigation of password patterns. Researchers have only touched the surface of patterns in ...

Traditional digital pen interfaces use menu buttons to change pen modes, resulting in time and cognitive load spent on round-trips and potential errors from tapping small mode selection buttons. This thesis presents Magic ...

Modular is a web-based annotation, visualization, and inference software plat-form for computational language and vision research. The platform enables researchers to set up an interface for efficiently annotating language ...

Many visualizations, including word clouds, cartographic labels, and word trees, encode data within the sizes of fonts. While font size can be an intuitive dimension for the viewer, using it as an encoding can introduce ...

Topic modeling algorithms are widely used to analyze the thematic composition of text corpora but remain difficult to interpret and adjust. Addressing these limitations, we present a modular visual analytics framework, ...