Patent ID: 7496567
Filing Date: 2009-02-24
Classification: G06F,Y10S

Abstract:
1. A document categorization method implemented by a computer processor for creating associations between one or more documents with a predefined topic, wherein each said predefined topic comprising: a topic name, a topic threshold and a topic query, wherein said topic threshold comprising a percentage value ranging from zero to one hundred, and wherein said topic query comprising one or more terms, each of said terms comprising: a word or a phrase, logical and grouping operators that define relationships between said terms, said method comprising: identifying matching documents using said topic query; screening said matching documents to produce document-topic associations for each of said documents that also match said topic threshold and said topic query, said screening comprising: computing a score for each of said matching documents, wherein said score value equals the similarity of each of said document with said topic; sorting said matching documents in order of said computed score; and selecting a subset of said matching documents wherein said subset being defined by said topic threshold, wherein said method implements a bimodal classifier that produces document-topic associations that are consistently accurate in terms of precision and recall over document collections that change over time in size and composition.