4. An automated method of classifying text to one or more target classes in a target classification system, the method comprising: identifying one or more noun-word pairs in a portion of text; and determining one or more scores based on frequencies of one or more of the identified noun-word pairs in the portion of text and one or more noun-word pairs in text associated with one of the target classes.
4. An automated method of classifying text to one or more target classes in a target classification system, the method comprising: identifying one or more noun-word pairs in a portion of text; and determining one or more scores based on frequencies of one or more of the identified noun-word pairs in the portion of text and one or more noun-word pairs in text associated with one of the target classes. 8. The method of claim 4 , wherein determining one or more scores based on one or more identified noun-word pairs and one or more noun-word pairs in other text associated with one of the target classes, comprises: determining a respective weight for each identified noun-word pair, with the respective weight based on a product of a term frequency of the identified word-noun pair in the text and an inverse document frequency of the noun-word pairs in the other text associated with one of the target classes.