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News Analytics




Build custom, AI-powered news analytics applications that extract entities, events and relationships from diverse news sources using Snorkel Flow.




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Case Study —



Fortune 50 Bank Develops Custom News Analytics in Days




A Fortune 50 bank uses Snorkel Flow to identify various companies’ mentions by role and sentiment in unstructured news feeds.


0x
Speedup Compared to Hand-labeling
45x
Speedup Compared to Hand-labeling
+0%
Performance Gain Over Legacy Solution
+25%
Performance Gain Over Legacy Solution
0K
News Articles Processed in Minutes
100K
News Articles Processed in Minutes

Read case studies






Deeply Understand the Impact of News


Snorkel Flow lets you build custom applications that analyze news and extract entities, events and relationships precisely. Go beyond brittle, off-the-shelf data feeds today–no costly manual labeling required.








With rising demand for affluent stay-at-home consumers, interactive fitness bike maker Peloton [ENTITY] agreed to buy [EVENT] Precor [ENTITY], a major provider of workout machines to gyms and hotels, for $420M [PRICE], its biggest purchase to date.


High-Accuracy Models


Develop highly accurate models that recognize, tag, extract, and link standard or custom entities and events with guided iteration and built-in analysis tools.







Faster, Lower-cost Extraction


Use programmatic labeling to train models that extract custom attributes in minutes instead of spending weeks or months on expensive hand-labeling.

Is Peloton mentioned in this
 news article?

Is Peloton’s mention focal or auxiliary?

Is the news article about M&A?

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SENTIMENT
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INTENT
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NOVELTY
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TOPIC
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TEMPORAL

Rapidly Adaptable


Rapidly build apps that adapt to new attributes in a fraction of the time. Retrain models with ease to changing input data or business objectives.







Flexible Integrations


Avoid vendor lock-in with easy integration of labeling, training and analysis pipelines–with diverse news sources or downstream applications using APIs or a Python SDK.

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NEWS OUTLETS
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SOCIAL MEDIA
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FINANCIAL NEWS
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DIGITAL FEEDS






Why Snorkel Flow —



A Radically New Approach to AI




Conventional AI approaches rely on generic third-party models, or brittle rule-based systems, or armies of human labelers. With Snorkel Flow, programmatically labeling unlocks a new workflow that accelerates AI app development.



With Snorkel Flow

  • Customize state-of-the-art models by training with your data & adapt to changing data or goals with a few lines of code.
  • Leverage cutting-edge ML to go beyond simple rules, and retain the flexibility to audit and adapt.
  • Label thousands of data points programmatically in hours, while keeping your data in-house and private.

With Conventional Approaches

  • Pre-trained vendor models often don’t work on your data, no way to customize, adapt, or audit.
  • Rules-based approaches often don’t perform well on complex data or adapt easily to changes in data or goals.
  • Hand-labeled ML is hugely expensive, with often no way to iterate and adapt, be privacy compliant, audit, or reuse.






How Snorkel Flow Works —




An End-to-end ML Platform Centered Around Data




Designed to accelerate AI application development by removing the training data bottleneck.




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01



Label & Build
Label and build training data programmatically in hours without months of hand-labeling
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02



Integrate & Manage
Automatically clean, integrate, and manage programmatic training data from all sources
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03



Train & Deploy
Train and deploy state-of-the-art machine learning models in-platform or via Python SDK
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Analyze & Monitor
Analyze and monitor model performance to rapidly identify and correct error modes in the data






Solutions —



AI Use Cases


Build and deploy use cases previously blocked by training data by combining state-of-the-art ML with industry-specific best practices and flexible API-based integrations using Snorkel Flow.



INSURANCE
Risk Classification
Classify policy documents on the basis of the behavior or occupation to assess risk.
TELECOM & CYBER
Customer Segmentation
Build customized promotions by analyzing customer behavior and demographics.
HEALTHCARE
Clinical Trial Matching
Determine clinical trial candidates by categorizing patient records.
FINANCIAL SERVICES
News Analytics
Extract entities, events, and relationships to improve investment and risk strategies and more.
TELECOM & CYBER
Interaction Analytics
Understand every customer interaction deeply by analyzing chats, emails, and tickets.
FINANCIAL SERVICES
Financial Spreading
Manage credit risk by collecting financial and non-financial data in any format from statements.
SOFTWARE
Search Engine Optimization
Identify named entities in customer search queries and optimize content on websites.
RETAIL
Product Recommendation
Enhance recommender systems by identifying entities (price, keywords, etc.) in product descriptions.
FINANCIAL SERVICES
Contract Intelligence
Extract and organize data from a wide variety of complex contracts efficiently.
RETAIL
Product Catalogs
Extract product attributes from tables, lists, and forms for cataloging.
SOFTWARE
Email Filtering & Routing
Classify emails to remove spam and route queries to the correct channels.