RadCloud: Visualizing Multiple Texts with Merged Word Clouds
Michael Burch, Steffen Lohmann, Fabian Beck, Nils Rodriguez, Lorenzo Di Silvestro, Daniel Weiskopf · 2014
Word clouds are a popular means for summarizing text documents. They usually visualize the word frequencies from single text sources, sometimes along with other attributes. However, the visualization of several text documents in one word cloud has rarely been addressed so far. This paper presents Rad Cloud, a technique for text visualization based on multiple word clouds merged into a single view. Inspired by the Rad Viz approach, the words are radially arranged in an overlap-free layout. The text sources are indicated by the spatial word arrangement and stacked bar charts. The approach has been implemented in an interactive text visualization tool and its usefulness is illustrated by an example.