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.

Speedup Compared to Hand-labeling

45x

Speedup Compared to Hand-labeling

+0%

Performance Gain Over Legacy Solution

+25%

Performance Gain Over Legacy Solution

News Articles Processed in Minutes

100K

News Articles Processed in Minutes

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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 Peleton mentioned in this  news article?

Is Peloton’s mention focal or auxiliary?

Is the news article about M&A?

SENTIMENT

INTENT

NOVELTY

TOPIC

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.

NEWS OUTLETS

SOCIAL MEDIA

FINANCIAL NEWS

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.

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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.

01

Label & Build

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

02

Integrate & Manage

Automatically clean, integrate, and manage programmatic training data from all sources

03

Train & Deploy

Train and deploy state-of-the-art machine learning models in-platform or via Python SDK

04

Analyze & Monitor

Analyze and monitor model performance to rapidly identify and correct error modes in the data

Platform details

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.

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