SELECTION OF TEXT CLASSIFIER PARAMETER BASED ON SEMANTIC CHARACTERISTICS

摘要

FIELD: physics.;SUBSTANCE: to evaluate the text classifier parameters based on semantic characteristics, the semantic-syntactic text analysis in natural language from the body of texts in natural language is performed using the processing device to create a semantic structure representing a set of semantic classes. The text characteristic in natural language is identified, extracted based on a set of values from a set of the characteristic extraction parameters. The body of texts in natural language is separated into a training data sample including the first set of texts in natural language, and a test sample including the second set of texts in natural language. A set of parameter values is defined for extracting characteristics, taking into account the category of the training sample. The obtained set of parameter values is evaluated for extracting characteristics using the test sample.;EFFECT: improving the accuracy of classification results.;20 cl, 15 dwg