Bulletin board data mapping and presentation

A computer system for file analysis, the system comprising:

• a memory comprising instructions executable by one or more processors, wherein the one or more processors are operable to execute the instructions to:
• receive one or more relevant files identified according to one or more semantic concepts;
• identify one or more words in the one or more relevant files;
• count of each of the one or more words for each of the one or more relevant files;
• identify one or more n-grams based on the one or more words identified in the one or more relevant files, wherein an n-gram is one or more combinations of the one or more words;
• produce a plurality of first scores, wherein each first score of the plurality of first scores is based on a term frequency and a global document frequency for each of the one or more words of each of the one or more n-grams of each of the one or more relevant files;
• perform vector analysis on the one or more relevant files to generate a model document used to compare to an unknown file of one or more unknown files in order to assign each unknown files a relevant score;
• produce a document vector based on averages of the plurality of first scores, wherein the document vector comprises a final value that illustrates how valuable the one or more words are in the one or more unknown files;
• compare the unknown file with the model document;
• and
• assign the relevant score to the unknown file according to the comparison.