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PrTFIDF algorithm
The PrTFIDF algorithm is a probabilistic variant of the traditional Rocchio and term frequency-inverse document frequency classifier used in automated text categorization. Rather than relying on heuristic formulas for word weighting, class prototype construction, and vector similarity, the algorithm derives these components from a formal probabilistic framework. By interpreting term frequencies and document-category relationships through probability theory, PrTFIDF systematically optimizes classification parameters and similarity metrics. This approach establishes a theoretical foundation that resolves the empirical shortcomings of conventional heuristic Rocchio classifiers, resulting in improved document classification performance.
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