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IBM Watson NLU

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AI-powered API for extracting sentiment, entities, keywords, and emotion from text

Text Analysis Software
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  • Deployment Cloud Based, Hybrid
  • Starting price Free
  • Free trial Not offered
  • Best for Freelancers, Startups, SMEs

What is IBM Watson NLU?

IBM Watson Natural Language Understanding is a cloud API that uses deep learning to analyze unstructured text and return sentiment, emotion, entities, keywords, categories, relations, and syntax. Sentiment can be scored for entire documents, individual entities, or specific keywords, and supports multiple languages including English, Spanish, French, German, Japanese, Korean, and Portuguese. Custom entity and relation models can be trained using Watson Knowledge Studio for domain-specific extraction needs.

Pricing follows a usage-based model on IBM Cloud. The Lite plan is free and includes 30,000 NLU items per month with one custom model, suspending until the next calendar month once exceeded. The Standard plan starts at $0.003 per item for up to 250,000 items monthly, drops to $0.001 per item between 250,000 and 5 million items, and falls to $0.0002 per item beyond 5 million, with custom relations/entities models priced at $800 and custom classification models at $25.

Key Features of IBM Watson NLU

IBM Watson NLU lists 8 documented features, including Sentiment analysis at document, entity, and keyword level, Named entity recognition for people, places, and events and Keyword extraction with relevance scoring. The list below covers what the product does rather than how it is marketed.

  • Sentiment analysis at document, entity, and keyword level
  • Named entity recognition for people, places, and events
  • Keyword extraction with relevance scoring
  • Emotion detection (joy, anger, sadness, fear)
  • Category and content classification
  • Syntax and relation analysis between concepts
  • Custom model training via Watson Knowledge Studio
  • REST API with SDKs for major programming languages

IBM Watson NLU Pricing

IBM Watson NLU lists 5 plans. One is free; the rest are quoted on request.

Lite

Free

30,000 NLU items/month, 1 custom model

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Perpetual free plan; instance suspends after limit is reached and reactivates the next calendar month

Standard (up to 250K items/month)

$0.003/item

Up to 250,000 items/month

Request pricing

Usage-based pricing for moderate volume

Standard (250K-5M items/month)

$0.001/item

250,000 to 5,000,000 items/month

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Lower per-item rate at higher volume

Standard (5M+ items/month)

$0.0002/item

5,000,000+ items/month

Request pricing

Lowest per-item rate for high-volume production usage

Custom Models Add-on

$800 / $25

Per model

Request pricing

$800 for custom entities/relations models trained with Watson Knowledge Studio; $25 for custom classification models

IBM Watson NLU Specifications

IBM Watson NLU is available on web app. It offers an API and has a free plan.

Deployment
  • Cloud Based
  • Hybrid
Billing cycle
Monthly
Desktop
  • Web App
Languages
  • English
Built for
  • Freelancers
  • Startups
  • SMEs
  • Agencies
  • Enterprises
Support
  • Email
  • Phone
  • Tickets
  • Training
Integrations
IBM Cloud, IBM Watson Knowledge Studio, Watson Discovery, Python, Node.js, Java, REST API
Public API
Yes
Free trial
No
Free plan
Yes
Runs in browser
Yes
Customisable
Yes
Website
ibm.com

IBM Watson NLU Videos

IBM Watson NLU Screenshots

IBM Watson NLU screenshot 1

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IBM Watson NLU FAQs

Yes, the Lite plan is free and provides 30,000 NLU items per month with one custom model, though the instance suspends until the next month once the limit is reached.

The Standard plan starts at $0.003 per item for up to 250,000 items monthly, drops to $0.001 per item for 250,000 to 5 million items, and falls to $0.0002 per item beyond 5 million items.

It can extract sentiment, emotion, entities, keywords, categories, relations, and syntax from unstructured text.

Yes, custom entity and relation models can be trained using Watson Knowledge Studio for $800 per model, and custom classification models cost $25 per model.

It supports sentiment and text analysis in languages including English, Arabic, French, German, Italian, Japanese, Korean, Portuguese, Russian, and Spanish, though specific feature support varies by language.