A METHOD FOR TEXT CLASSIFICATION AND FEATURE SELECTION USING CLASS VECTORS AND THE SYSTEM THEREOF

摘要

A method for text classification and feature selection using class vectors, comprising the steps of receiving a text / training corpus including a plurality of training features representing a plurality of objects from a plurality of classes; learning a vector representation for each of the classes along with word vectors in the same embedding space; training the class vectors and words vectors jointly using skip-gram approach; and performing class vector based scoring for a particular feature; and performing feature selection based on class vectors.