MarketplaceListingsML ModelInsurance Entity Extraction Model

Insurance Entity Extraction Model

by Internal Labs

0

62

Insurance Entity Extraction Model

by Internal Labs

0

ML Model

62

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Summary

Summary


Overview

Overview

The goal of this project is to ensure the smooth extraction of insurance-related entities from unstructured data. The unstructured data is to be provided as input which is obtained from any of the OCR engines by processing their documents in the image of PDF formats.
This AIFabric compatible ML model analyses incoming insurance documents and extracts entities i.e. policy number, policy tenure & client name and the extracted data can be utilized by the bot to perform data entry activities to their respective application.
The model has been trained on the client and carrier-specific insurance documents compatible with the Accord template.

Installation Guide:
1. Download the zip file from drive and upload the package to AIFabric
2. Input for the model is string obtained from OCR(Preferably tesseract) after passing the insurance document.
3. Output will be json object with keys "POLICY_NO","POLICY_PERIOD","INSURED_ORG".

Features

Features


Additional Information

Additional Information

Dependencies


Publisher

Internal Labs

Visit Publisher's Page

License & Privacy

MIT

Privacy Terms

Technical

Version

1.0

Updated

07 Apr 2020

Works with

UiPath Studio >=19.8

Certification

Silver Certified

Tags

ai
AIFabric
entity
extraction
industry
insurance
learning
machine
model
policy
solution

Application

UiPath AI Center

Support

UiPath Community Support

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