1. An automated method of classifying input text according to a target classification system having two or more target classes, the method comprising: for each target class, determining a composite score based on a first score scaled by a first class-specific weight for the target class and a second score scaled by a second class-specific weight for the target class, with the first and second scores based on an input text and text associated with the target class; and for each target class, classifying or recommending classification of the input text to the target class based on the composite score and a class-specific decision threshold for the target class.
1. An automated method of classifying input text according to a target classification system having two or more target classes, the method comprising: for each target class, determining a composite score based on a first score scaled by a first class-specific weight for the target class and a second score scaled by a second class-specific weight for the target class, with the first and second scores based on an input text and text associated with the target class; and for each target class, classifying or recommending classification of the input text to the target class based on the composite score and a class-specific decision threshold for the target class. 3. The method of claim 1 , further comprising: updating the class-specific threshold for one of the target classes based on acceptance or rejection of recommended classifications of the input text.