Overview
Powerful advanced text analytics for your data
Learn more below about how Watson Natural Language Understanding extracts metadata from text such as entities, keywords, categories, sentiment, emotion, relations, syntax, and much more.
Features
Watson Natural Language Understanding features
Domain customization
Train Watson to understand the language of your business and extract customized insights with Watson Knowledge Studio.
Text analytics
Surface real-time actionable insights to provides your employees with the tools they need to pull meta-data and patterns from massive troves of data.
Deploy anywhere
Deploy Watson Natural Language Understanding behind your firewall or on any cloud.
Entities
Detect people, places, events, and other types of entities mentioned in your content using our out-of-the-box capabilities.
Categories (Beta)
Categorize your data with granularity using a five-level classification hierarchy.
Classifications
Classify text with custom labels to automate workflows, extract insights, and improve search and discovery.
Concepts
Identify high-level concepts that aren’t necessarily directly referenced in your content.
Emotions
Extract emotions (joy, anger, sadness, fear, and other feelings) conveyed by specific target phrases or by the document as a whole.
Sentiment (Beta)
Analyze the sentiment (positive, negative, or neutral) towards specific target phrases and of the document as a whole.
Relations
Understand the relationship between two entities within your content and identify the type of relation.
Metadata
Quickly extract information from a document such as author, title, images, and publication dates.
Semantic roles
Parse sentences into subject-action-object form and identify entities and keywords that are subjects or objects of an action.
Get started now with IBM Watson Natural Language Understanding:
Test drive the natural language AI service on IBM Cloud.