Rinalogy
Classification API

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Rinalogy API performs classification of unstructured data by applying Continuous Active Learning .

Rinalogy API capabilities include:

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Advanced modeling techniques to build and apply models to quickly find responsive documents for all tags;

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Simultaneously train multiple models (a model for each tag);

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Proprietary workflow with unique capabilities that lets users train a software model by reviewing and tagging a small portion of the data set;

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No need for seed sets;

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Need only a few reviewers regardless of the size of a document set;

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Real-time monitoring of model building;

And others.

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Deployment

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Rinalogy Classification API can be used to add text classification, search, and recommendation capabilities to a client application;

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Rinalogy Classification API can be deployed in your IT infrastructure, close to your data and behind your firewall;

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Scalable cluster deployment allows you to adjust the number of workers depending on your workload.

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Read our Rinalogy API Use Case for Sentio Software

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