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CL Research Implementation of Minnesota Contextual Content Analysis

E-Score: Difference Analysis

The difference in E-scores between any one of the text groups and all the others. This includes some summary word accounting statistics for each text group, showing the total number of tokens and unique tokens, along with their percentages of all words in the text, and then these broken down into tokens that were classified, and tokens that were not classified (or leftover), with percentages of the total number of tokens and unique tokens; the E-score mean and standard deviation over these categories, and the low E-score, the high E-score, and the E-score range; and finally, the E-score differences between the specified text and the others for the selected categories (those with scores or differences of 5.0 or more) are printed.

Maintained by Ken Litkowski.
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Modified: Aug 03, 2020