Document correlation optimizer

A method of calculating a correlation of thematic content of two or more written documents which contain text in digital format, the method comprising:

• decomposing, for each of the two or more written documents, the text of the respective written document into a list of words in root word form to produce a plurality of lists of words in root word form, each list from the plurality of lists of words in root word form corresponding to a respective one of the two or more written documents;
• tabulating, for each of the plurality of lists of words in root word form, a frequency of occurrence of root word forms in the corresponding one of the two or more written documents to produce a plurality of frequency models of root word forms;
• recording each frequency model from the plurality of frequency models into an information arrangement to produce a plurality of information arrangements;
• correlating the plurality of information arrangements to produce a numerical thematic correlation score, the correlating comprising:
• performing a first correlation operation on the plurality of information arrangements to produce a first numerical result;
• performing a second correlation operation on the plurality of information arrangements to produce a second numerical result;
• and
• performing a mathematical operation on the first numerical result and the second numerical result to produce the numerical thematic correlation score;
• and
• providing a visual representation of the correlation score.