This is a pretty simple tool that let’s you compare the overall word count for Romney vs. Obama in the October 3rd Presidential Debate:
This is either inaccurate, or is from a different debate. Certain words that were said repeatedly come up as zeros, including “Syria” and “teachers.”
Hi Bob – first, thanks a lot for your comment and for stopping by! Great catch – while the word “Syria” wasn’t mentioned in the first presidential debate,, the word “teachers” was mentioned more than the first version of this vis caught. Correction made, and thanks again!
This is very interesting Ben. Would you have a quick recipe you can share, I’d like to do the same with a bunch of tweets.
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The only thing that I’ve found is that Tableau doesn’t really do a word cloud so much as a text string cloud. If you have for example a file with a load of verbatim feedback, Tableau won’t actually break apart the individual words, it will just put the whole piece of text up.
Right, I first created a word frequency table and then connected Tableau to that file rather than the text file with the raw text.
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