Patent ID: 7028250

Claim:
In a system comprising perspectives and categories, each perspective including at least one category representative of that perspective, a computerized method for classifying at least one item across multiple perspectives, said computerized method comprising: associating category features with each category, wherein each of said category features represents one of a plurality of tokens; producing a category vector for each category, wherein each category vector includes a weight corresponding to each category feature, said weight indicative of a degree of association between said category feature and said category; associating item features with each item, wherein each of said item features represents one of a plurality of tokens found in said item; producing a feature vector for each item, wherein each feature vector includes said item features with a count corresponding to each item feature, said count indicative of the number of times said item feature appears in said item; multiplying said category vector by said item vector to produce a plurality of category scores for each item; and for each perspective, across multiple perspectives, classifying an item into a category provided said category score exceeds a predetermined threshold.