Public Sector — Regulatory Document Classification Taxonomy Creation

Overview

The primary purpose of this DAG is to create a structured taxonomy for classifying regulatory documents within the public sector, leveraging advanced Named Entity Recognition (NER) techniques. The workflow begins with the ingestion of various document types, including legal texts, compliance reports, and regulatory guidelines. These documents are processed to extract key entities such as regulations, compliance terms, and relevant dates, which are then categorized according to a predefined taxon

The primary purpose of this DAG is to create a structured taxonomy for classifying regulatory documents within the public sector, leveraging advanced Named Entity Recognition (NER) techniques. The workflow begins with the ingestion of various document types, including legal texts, compliance reports, and regulatory guidelines. These documents are processed to extract key entities such as regulations, compliance terms, and relevant dates, which are then categorized according to a predefined taxonomy. This classification enables easier search and retrieval of documents, significantly improving operational efficiency. Quality control measures are integrated into the pipeline, including precision tests on the extracted entities to ensure accuracy and reliability of the classification. The outputs of this DAG are stored in a document management system, allowing for easy access and consultation by stakeholders. Key Performance Indicators (KPIs) for monitoring include classification accuracy rates and processing times, which provide insights into the effectiveness of the workflow. The business value derived from this DAG is substantial, as it streamlines document management processes, reduces the time needed for regulatory compliance checks, and enhances the overall accessibility of critical information for decision-making within the public sector.

Part of the Fraud & Anomaly Analytics solution for the Public Sector industry.

Use cases

• Improves operational efficiency in document handling
• Reduces compliance check times significantly
• Facilitates better decision-making with accessible data
• Ensures regulatory adherence through accurate classification
• Increases transparency in public sector documentation