Audience

Healthcare providers seeking a library to manage their machine learning models and pipelines

About Spark NLP

Experience the power of large language models like never before, unleashing the full potential of Natural Language Processing (NLP) with Spark NLP, the open source library that delivers scalable LLMs. The full code base is open under the Apache 2.0 license, including pre-trained models and pipelines. The only NLP library built natively on Apache Spark. The most widely used NLP library in the enterprise. Spark ML provides a set of machine learning applications that can be built using two main components, estimators and transformers. The estimators have a method that secures and trains a piece of data to such an application. The transformer is generally the result of a fitting process and applies changes to the target dataset. These components have been embedded to be applicable to Spark NLP. Pipelines are a mechanism for combining multiple estimators and transformers in a single workflow. They allow multiple chained transformations along a machine-learning task.

Pricing

Starting Price:
Free
Free Version:
Free Version available.

Integrations

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Company Information

John Snow Labs
United States
sparknlp.org

Videos and Screen Captures

Spark NLP Screenshot 1
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Product Details

Platforms Supported
SaaS
On-Premises
Training
Documentation
Live Online
Webinars
In Person
Videos
Support
Phone Support
Online

Spark NLP Frequently Asked Questions

Q: What kinds of users and organization types does Spark NLP work with?
Q: What languages does Spark NLP support in their product?
Q: What kind of support options does Spark NLP offer?
Q: What other applications or services does Spark NLP integrate with?
Q: What type of training does Spark NLP provide?
Q: How much does Spark NLP cost?

Spark NLP Product Features

Natural Language Processing

Sentence Segmentation
Tokenization
Stemming/Lemmatization
Part-of-Speech Tagging
Parsing
Named Entity Recognition
Co-Reference Resolution
In-Database Text Analytics
Open Source Integrations
Natural Language Generation (NLG)

Spark NLP Additional Categories