Learn More
BACKGROUND Contrasting biological, chemical and hydrogeological analyses highlights the fundamental processes that shape different environments. Generating and interpreting the biological sequence data was a costly and time-consuming process in defining an environment. Here we have used pyrosequencing, a rapid and relatively inexpensive sequencing(More)
— Exploration and discovery in a large text corpus requires investigation at multiple levels of abstraction, from a zoomed-out view of the entire corpus down to close-ups of individual passages and words. At each of these levels, there is a wealth of information that can inform inquiry—from statistical models, to metadata, to the researcher's own knowledge(More)
A valuable task in text visualization is to have viewers make judgments about text that has been annotated (either by hand or by some algorithm such as text clustering or entity extraction). In this work we look at the ability of viewers to make judgments about the relative quantities of tags in annotated text (specifically text tagged with one of a set of(More)
Septic systems that are built in compliance with regulations are generally not expected to be the cause of groundwater borne disease outbreaks, especially in areas with thick vadose zones. However, this case study demonstrates that a disease outbreak can occur in such a setting and outlines the combination of epidemiological, microbiological, and(More)
Topic modeling, a method of statistically extracting thematic content from a large collection of texts, is used for a wide variety of tasks within text analysis. Though there are a growing number of tools and techniques for exploring single models, comparisons between models are generally reduced to a small set of numerical metrics. These metrics may or may(More)
Topic modeling-an increasingly popular method of large-scale textual analysis being employed in many elds across research and industry-is ripe for visualization tools that will make it more accessible. Some such tools already exist. However, eeorts to visualize the output of these algorithms tend to focus on analyzing the model itself, distinct from the(More)
In this position paper, we enumerate two approaches to the evaluation of visualizations which are associated with two approaches to knowledge formation in science: reductionism, which holds that the understanding of complex phenomena is based on the understanding of simpler components; and holism, which states that complex phenomena have characteristics(More)
Figure 1: To test whether word attributes that should be irrelevant might still affect the perception of their font size, we highlighted words within word cloud visualizations and asked participants to choose the larger font. On the left, " zoo " has the larger font, but the length of " moreover " can bias participants toward choosing it as larger. On the(More)
  • 1