Patent ID: 8909648
Filing Date: 2014-12-09
Classification: G06F,G06N

Abstract:
1. A computerized method of evaluating semantic relatedness of terms, comprising: obtaining a plurality of text segments extracted from a plurality of documents associated with at least one user; calculating, using a processor, a plurality of weights, each one of said plurality of weights is calculated for a text segment of said plurality of text segments based on an analysis of the behavior of said at least one user with reference to said each text segment; calculating a prevalence of a co-appearance of each of a plurality of pairs of terms in said plurality of text segments; evaluating a semantic relatedness for determining the strength of the semantic relatedness between the terms of each said pair according to a combination of: 1) a prevalence of the said pair in said plurality of text segments, and 2) the weight of each text segment of said plurality of text segments in which a co-appearance of said pair occurs; and generating a semantic relatedness dataset mapping said semantic relatedness between at least some terms of said plurality of pairs of terms, said dataset is subject to said at least one user.