Visually emphasizing dominant concepts

In this project I explore a method of displaying the underlying word distribution of a text using the text itself. In essence, I will try to develop a system to visually emphasize repeating concepts without divorcing the visual representation from the original content.

Although useful, other methods of summarizing text—such as basic extraction of key terms or even scaled representations like word clouds—tend to separate the summary from the original, leaving the reader a reference instead of a direct link to the source of the summary. I will attempt to eliminate this back-and-forth, allowing the reader to organically perceive those summarizing elements immediately while reading the original.

To create text that displays its own distribution, I will extract word frequencies and use them to emphasize recurring substrings by simply altering their relative brightness.