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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.

Dynamic Stopword Identifier

By: 7Park Data Latest Version: 1.0

Product Overview

7Park Dynamic Stopword Identifier allows you to wrangle more signal from your data and improve the efficacy and value of your analytics initiatives. Use this tool to quickly identify and filter out stopwords (words that don’t help discriminate between your data entries) in your tabular or unstructured (e.g., documents, log files) data.

Key Data

Version
By 7Park Data
Categories
Type Algorithm
Fulfillment Methods Amazon SageMaker

Usage Information

Fulfillment Methods

Amazon SageMaker

Support Information

Dynamic Stopword Identifier

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

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Refund Policy

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

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