Wolfram Computation Meets Knowledge

Democratic Presidential Debate Word Clouds

The first Democratic debate of the 2016 election season has finally come to pass. Although the Democratic party has less than half the number of candidates as the Republican party, this event was just as lively and saw just as much hype. As we did for the two GOP debates, we used last night’s transcripts of everything the candidates said to create linguistic images using the WordCloud function.

In case you missed our previous posts, WordCloud is a Wolfram Language function that allows anyone to visualize words, sized by their frequency in a text. With just one line of code, you can create a word cloud graphic from data, text, or URLs.

Lincoln Chafee Hillary Clinton Martin O'Malley Bernie Sanders Jim Webb

Two of our staff, Alan Joyce and Vitaliy Kaurov, explored an in-depth analysis of the last GOP debate on Wolfram Community. Check out the work they did and share your own analyses for extrapolating a likely Democratic nominee!


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  1. Congratulations on your great work, Vitaly.
    We looked for you last year at the Conference, but Stephen Wolfram reminded us
    that you were off site (way off site).
    We hope to see you next week at the Wolfram Conference.
    Best to your colleagues,

  2. I notice that the word “people” appears prominently in all but one of the democrat’s word clouds. It was conspicuously absent from the republicans’.