Classifying documents using multiple classifiers
Topics: Document Classification, Indexing
This patent outlines a method and system for classifying documents by combining scores from multiple classifiers. Each classifier evaluates a document against a specified property (e.g., the relevance of content to a certain topic), generating scores that reflect the likelihood of the document having that property. A model then combines these scores using monotonic regression, ultimately classifying the document based on the aggregated score.
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