Patent ID: 9372850
Filing Date: 2016-06-21
CPC Classification: G06F

Claim Text:
1. A computer-implemented method of identifying machine generated text, comprising: analyzing a plurality of pre-determined machine generated works; storing, in a database, pre-determined centers of mass corresponding to the pre-determined machine generated works; storing, in the database, pre-determined shape descriptors corresponding to the pre-determined machine generated works; analyzing a plurality of pre-determined non-machine generated works; storing, in the database, pre-determined centers of mass corresponding to the pre-determined non-machine generated works; storing, in the database, pre-determined shape descriptors corresponding to the pre-determined non-machine generated works; receiving a textual work submitted for publishing; generating an N-gram of N words of the textual work; plotting the N-gram in an N-dimensional space; generating a 2-dimensional plot based, at least in part, on the plot of the N-gram in N-dimensional space; calculating a center of mass of the 2-dimensional plot; calculating a shape descriptor of the 2-dimensional plot, wherein the shape descriptor includes one or more points defining a shape of the 2-dimensional plot; comparing the center of mass to the pre-determined centers of mass and the shape descriptor to the pre-determined shape descriptors; calculating, based at least in part on the comparison, a confidence score indicative of a correlation between the textual work and at least one of the pre-determined machine generated works; determining, based at least in part on the confidence score, that the textual work is machine generated; and rejecting the textual work for publishing based on the determination.