Patent ID: 9348901
Filing Date: 2016-05-24
CPC Classification: G06F

Claim Text:
1. A method for classifying a text fragment by applying one or more rule functions, said method comprising: (i) obtaining, by a processor, a set of words from at least one sentence of said text fragment obtained from a multimedia content; (ii) mapping, by said processor, each word from said set of words with a plurality of category map tables to obtain a set of candidate vector, said set of candidate vector comprising a plurality of categories associated with each word; (iii) generating, by said processor, a plurality of category vectors based on at least one category from among said plurality of categories, wherein each category vector is specific to said at least one sentence based on said at least one category; (iv) applying, by said processor, rule functions on said plurality of category vectors, wherein said rule functions are set operations that are applied on said plurality of category vectors, wherein each rule function of said rule functions comprises a rule vector and attributes that are specific to said rule vector; (v) generating, by said processor, a plurality of numbers by applying said rule function on said plurality of category vectors; (vi) generating, by said processor, a candidate classification decision matrix based on said plurality of numbers which are obtained by applying said rule functions on said plurality of category vectors, wherein said candidate classification decision matrix comprises (i) results of each rule function applied on each said category vector, and (ii) a rectangular array of rows and columns having said plurality of numbers; and (vii) classifying, by said processor, said text fragment based on said candidate classification decision matrix.