User-defined automated document feature extraction and optimization

摘要

Provided herein are systems and methods for user-defined automated document feature modeling, extraction and optimization. In the present disclosure, an end user of an automated document review system can customize and create new extractor taggers within data models applicable to a set of focus documents. The user-defined edits to the extractor taggers can be further tested in a staging environment, and tested against a ground truth set of documents, before being widely applied to other relevant documents.