Patent ID: 8606815
Filing Date: 2013-12-10
Classification: G06F

Abstract:
1. A computer-implemented method for systematically analyzing an electronic text, comprising: receiving by a computer the electronic text from a plurality of sources; determining an at least one term of interest to be identified in the electronic text; determining an at least one term of interest to be identified in the electronic text; identifying by the computer a plurality of locations within the electronic text including the at least one term of interest; for each location within a plurality of locations, creating by the computer a snippet from a text segment around the at least one term of interest at the location within the electronic text; creating by the computer multiple taxonomies for the at least one term of interest from the snippets, wherein the taxonomies include an at least one category, the at least one category including a sentiment based taxonomy; and determining by the computer associations between categories of a different taxonomies of the multiple taxonomies by determining: co-occurrences between the multiple taxonomies; and significance of co-occurrences between the multiple taxonomies, wherein the determining the co-occurrences further comprises: wherein at least one of the taxonomies is a time based taxonomy that is based on the creation date of the electronic text, the time based taxonomy generated by: wherein the sentiment based taxonomy is determined by: sorting snippets of the electronic text based on a calculated sentiment score differential between the at least one positive sentiment score and the at least one negative sentiment score.