Audience
Companies looking for a natural language processing platform
About Rinalogy Classification API
Rinalogy Classification API is a scalable machine learning service that can easily integrate with your application and run in your own environment. Unlike cloud machine learning APIs that run in an environment out of your control and require you to transfer all of your data, Rinalogy Classification API can be deployed in your IT infrastructure, close to your data and behind your firewall. Rinalogy Classification API performs Exhaustive Sequential Classification by applying models to all documents in the collection. Models are saved and can be improved with more training data or used to predict new documents later. Its scalable cluster deployment allows you to adjust the number of workers depending on your workload. Rinalogy API can be used to add text classification, search, and recommendation capabilities to a client application.
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Integrations
API:
Yes, Rinalogy Classification API offers API access
No integrations listed.
Company Information
RINA Systems
United States
www.rinasystems.com/product/rinalogy-api.html
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Product Details
Platforms Supported
Cloud
Training
Documentation
Support
Phone Support
Online
Rinalogy Classification API Frequently Asked Questions
Q: What kinds of users and organization types does Rinalogy Classification API work with?
Rinalogy Classification API works with these users and organization types: Mid Size Business, Small Business, Enterprise, Freelance, Nonprofit, Government, and Startup.
Q: What languages does Rinalogy Classification API support in their product?
Rinalogy Classification API supports these languages: English.
Q: What kind of support options does Rinalogy Classification API offer?
Rinalogy Classification API offers support via phone support and online.
Q: Does Rinalogy Classification API have an API?
Yes, Rinalogy Classification API has an API.
Q: What type of training does Rinalogy Classification API provide?
Rinalogy Classification API provides training in the form of documentation.
