News, Views & Insights
The Winner of the GOP Presidential Debate
A few days ago, Fox News hosted the first presidential primary debate of 2016. The candidates met onstage, vying for support from the GOP electorate. Among the cacophony and crafty messaging, a truly artful winner has emerged: word clouds.
The WordCloud function (1 of 5000+ functions) in the Wolfram Language allows anyone to visualize words, sized by their frequency in a text. With a mere line of code, you can create a compelling word cloud graphic from data, text, or URLs.
But don’t take my word for it; let’s make the WordCloud function earn your support. Here you’ll find each candidate’s transcript from the debate in WordCloud form (click any image to enlarge it):
I would like a wordcloud for all transcripts combined!
What I’d like to see is the reverse: word-clouds that give words prominence in proportion not to how much the candidate used them, but to how much *more* one candidate used them more than the other candidates did.
How about making one based on all the wordclouds generated by the wordcloud function?