On Chris Harrison's site, there are a number of graphics that he calls Word Spectrums. More like a battleground, Chris is using the enormous amount of data from websites that has been made public by Google. This is an advanced form of a word cloud that visualizes related words and their relative connections to the two topics. (FYI, since this is based on raw Google data, foul language does appear in some of them).
Using Google's enormous bigram dataset, I produced a series of visualizations that explore word associations. Each visualization pits two primary terms against each other. Then, the use frequency of words that follow these two terms are analyzed. For example, "war memorial" occurs 531,205 times, while "peace memorial" occurs only 25,699. A position for each word is generated by looking at the ratio of the two frequencies. If they are equal, the word is placed in the middle of the scale. However, if there is a imbalance in the uses, the word is drawn towards the more frequently related term. This process is repeated for thousands of other word combinations, creating a spectrum of word associations. Font size is based on a inverse power function (uniquely set for each visualization, so you can't compare across pieces). Vertical positioning is random.
Chris has created and shared a number of different versions on the Word Spectrum page of his website, and you can see high-resolutions PDFs of each there.
Want to try your own? Building on Chris' idea, Jeff Clark from Neoformix has created interactive Word Spectrums using either Twitter or News as the source that lets you enter your own terms to compete. I especially like the idea of pitting two competing brands against one another.
