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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)
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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

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

Usage Information

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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AWS Infrastructure

AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services. Learn more

Refund Policy

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

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