Patent ID: 6868411
Filing Date: 2005-03-15
Classification: G06F

Abstract:
1. A method for classifying a text object, comprising: extracting a set of features from the text object; the set of features having a plurality of features; constructing a document class fuzzy set with a plurality of ones of the set of features extracted from the text object; each of the ones of the features extracted from the text object having a degree of membership in the document class fuzzy set and a plurality of class fuzzy sets of a knowledge base; measuring a degree of match between each of the plurality of class fuzzy sets and the document class fuzzy set; and using the measured degree of match to assign the text object a label that satisfies a selected decision making rule; wherein the document class fuzzy set is computed by: calculating a frequency of occurrence for each feature in the set of features in the text object; normalizing the frequency of occurrence of each feature in the set of features; and transforming the normalized frequency of occurrence of each feature in the set of features to define the document class fuzzy set.