1. A method, comprising: performing, by a computer system, semantico-syntactic analysis of a natural language text to produce a semantic structure representing a set of semantic classes; associating a first semantic class of the set of semantic classes with a first value reflecting a specified semantic class attribute; identifying a second semantic class associated with the first semantic class by a pre-defined semantic relationship, wherein an instance of the second semantic class is an ancestor of the first semantic class in a semantic hierarchy associated with the set of semantic classes; associating the second semantic class with a second value reflecting the specified semantic class attribute, wherein the second value is determined by applying a pre-defined transformation to the first value; evaluating a feature of the natural language text based on the first value and the second value; determining, by a classifier model using the evaluated feature of the natural language text, a degree of association of the natural language text with a particular category of a pre-defined set of categories; and performing, using the degree of association, a natural language processing operation.
1. A method, comprising: performing, by a computer system, semantico-syntactic analysis of a natural language text to produce a semantic structure representing a set of semantic classes; associating a first semantic class of the set of semantic classes with a first value reflecting a specified semantic class attribute; identifying a second semantic class associated with the first semantic class by a pre-defined semantic relationship, wherein an instance of the second semantic class is an ancestor of the first semantic class in a semantic hierarchy associated with the set of semantic classes; associating the second semantic class with a second value reflecting the specified semantic class attribute, wherein the second value is determined by applying a pre-defined transformation to the first value; evaluating a feature of the natural language text based on the first value and the second value; determining, by a classifier model using the evaluated feature of the natural language text, a degree of association of the natural language text with a particular category of a pre-defined set of categories; and performing, using the degree of association, a natural language processing operation. 2. The method of claim 1 , wherein the feature of the natural language text reflects a frequency of occurrence of instances of the first semantic class within the semantic structure.