Rule2Feature
Rule2Feature
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Rule2Feature
Automatic extractor from rules/documents to learnable features
Product category: Text parsing / Feature construction
Applicable platforms: Python
Technical affiliation: NLP, IE, Rule Mining
Programming language affiliation: Python
Tags: #NLP #FeatureExtraction Product
Type: Text parsing / Feature construction
Rule2Feature turns institutional and process documents into structured, learnable features/labels. Technically, it combines templates/regex, term dictionaries, and small semantic models to extract thresholds/formulas/condition statements, and performs unit/scale normalization, confidence scoring, and manual calibration. For time series/multimodal modeling, it can incorporate "unstructured knowledge" into inputs; for policy/decision, it can map "hard boundaries" to executable constraints or context features. It bridges the last mile from "paper knowledge to model inputs", reducing biases caused by omitted hidden business rules.
Delivery method: Instant digital download after purchase
License: Single-user commercial license
Usage limit: One-time use
Support: Technical documentation provided in the delivery file; no human technical support included
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"TUTAL provides highly useful AI components for small developers — definitely deserving a five-star rating!"Shawn Presser -
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