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Amazon SageMaker is a fully-managed platform that enables developers and data scientists to quickly and easily build, train, and deploy machine learning models at any scale. With Amazon SageMaker, all the barriers and complexity that typically slow down developers who want to use machine learning are removed. The service includes models that can be used together or independently to build, train, and deploy your machine learning models.

Transaction Data Parsing (NER)
Free Trial

By: 7Park Data Latest Version: 1.1

Product Overview

7Park Data transaction data parsing allows you to wrangle more value out of your credit card, POS, and receipt data by identifying and extracting key entities. Our transaction data classifier (NER) has been trained and optimized on millions of credit card transactions over the last 5 years. Entities covered in this solution include: Merchants / Companies (e.g., "Starbucks") and Locations (e.g., "Venice Beach, Los Angeles, CA"). F1 scores are 95% and higher for all entities on our data.

Key Data

Version
By 7Park Data
Categories
Type Model Package
Fulfillment Methods Amazon SageMaker

Usage Information

Fulfillment Methods Amazon SageMaker

End User License Agreement

By subscribing to this product you agree to terms and conditions outlined in the product End User License Agreement (EULA)

Support Information

Transaction Data Parsing (NER)

Please reach out to platform@7parkdata.com for "how to" questions, if you are interested in extracting other entities, or are looking for additional support in your data processing. We have built a powerful NLP platform that we are leveraging for multiple use cases.

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Please contact platform@7parkdata.com for feedback and suggestions.

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