Snorkel Flow for Natural Language Processing 

Reach production faster and unlock production NLP applications with Snorkel Flow.

Google used Snorkel to replace 100K+ hand-annotated labels in critical ML pipelines for text classification.


Problem

Content, product, and event classification problems change too fast to hand-label, even with significant annotation budget.

Solution

Google deployed early versions of Snorkel's core technology with three high-impact teams, repurposing many resources as labeling functions.

Results

Hours of labeling function development replaced 10-100K+ hand labels, significantly impacting the bottom line and accelerating ML adoption.


6

months of hand-labeling data replaced in 30 min.

52%

performance improvement

100K+

hand labels replaced with a programmatic approach

Why Snorkel Flow for NLP

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Faster, lower-cost development

Use programmatic labeling to develop high-quality AI applications in hours instead of spending weeks or months on expensive hand-labeling.
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Higher-accuracy models

Iterate on your application, using a closed-loop approach with intermediate results and analysis at every step to quickly identify errors and improve model accuracy. 
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Streamlined SME collaboration

Easily collaborate with experts and encode their knowledge into your model with labeling functions and intuitive manual annotation tools. 
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Keep data private and secure

Keep your data “eyes off” and maintain full ownership and control of your data throughout the model development process.
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Flexible integrations

Easily integrate labeling, training, and analysis pipelines defined over diverse input types—text, PDF, HTML, and more—with downstream applications using APIs or a Python SDK.

Common NLP use cases

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Document classification

Programmatically label training data across complex data types and build multi-model document classification applications with ease.
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Named entity recognition

Build named entity recognition (NER) applications to recognize common or custom entities in a fraction of the time with programmatic labeling using Snorkel Flow.
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Information extraction

Rapidly build AI-powered applications that extract information from unstructured text, PDF, tables, or forms from millions of documents with programmatic labeling using Snorkel Flow.
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Sentiment analysis

Build AI-powered sentiment analysis applications to detect sentiments at the level of words, sentences, paragraphs, or documents in a fraction of the time using programmatic labeling with Snorkel Flow.

Ready to get started or have questions?

Talk to a Snorkel AI expert today to learn how you can accelerate the development of your NLP application and unlock new AI use cases powered by your data and expertise.

Snorkel Flow

A complete platform for AI data development

Snorkel Flow provides data scientists and subject matter experts with a collaborative platform for capturing domain knowledge, using it to label entire datasets or generate synthetic ones, and to quickly iterate on training data and model development via built-in, guided error analysis and model evaluation.
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See Snorkel Flow up close and get your questions answered by a 
Snorkel AI ML engineer during our weekly live demos.