Patent attributes
A document analyzer receives a collection of text-based terms associated with a document. The document analyzer performs a statistical analysis on the text-based terms to identify a distribution of where the text-based terms appear in the document and relative frequency indicating how often the text-based terms appear in the document. The document analyzer utilizes the distribution and relative frequency information derived from the statistical analysis to rank multiple themes associated with the document. For example, a received listing of multiple themes may not be presented in any useful order, although it can be assumed that the themes in the listing are present in the document. Based on application of distribution and relative frequency information derived from the analysis, the document analyzer can identify which themes are most relevant to the document as a whole and/or which of themes correspond to different portions (e.g., pages or sections) of the document.
