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IBM Watson Natural Language Understanding
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IBM Watson Natural Language Understanding

Overview
Synopsis

IBM Watson Natural Language Understanding analyze text to extract meta-data from content such as concepts, entities, keywords, categories, relations and semantic roles.

Category

Text Analytics Software, Sentiment Analysis Software, Categorization Software

Features

• Insights from structured and unstructured data
• Sentiment and emotion
• Grasp multiple languages

License

Proprietary

Price

• 1 -250,000 items per month -$0.003 per item
• 250,001 -5,000,000 items per month -$0.001 per item
• 5,000,000 + items per month -$0.0002 per item
• Custom model price per month -$800 per model

Pricing

Subscription

Free Trial

Available

Users Size

Small (<50 employees), Medium (50 to 1000 employees), Enterprise (>1000 employees)

Company

IBM

What is best?

• Insights from structured and unstructured data
• Sentiment and emotion
• Grasp multiple languages

What are the benefits?

• Understands text in nine languages
• Analyzes text to extract meta-data from content
• Returns both overall sentiment and emotion
• Processes advanced text analysis
• Returns targeted sentiment and emotion towards keywords for deeper analysis

PAT Rating™ ( Beta)
Editor Rating
Aggregated User Rating
Rate Here
Ease of use
8.3
9.2
Features & Functionality
8.3
6.6
Advanced Features
8.2
8.4
Integration
8.4
8.2
Performance
8.4
10
Training
8.2
Customer Support
8.2
8.2
Implementation
Renew & Recommend
Bottom Line

IBM Watson Natural Language Understanding returns both overall sentiment and emotion for a document, and targeted sentiment and emotion towards keywords in the text for deeper analysis. NLU understands text in nine languages, and through customization with Watson Knowledge Studio.

8.3
Editor Rating
8.4
Aggregated User Rating
4 ratings
You have rated this

IBM Watson Natural Language Understanding analyze text to extract meta-data from content such as concepts, entities, keywords, categories, relations and semantic roles. IBM Watson Natural Language Understanding returns both overall sentiment and emotion for a document, and targeted sentiment and emotion towards keywords in the text for deeper analysis. NLU understands text in nine languages, and through customization with Watson Knowledge Studio.

IBM Watson enable Cognitive Computing Features In Your App Using IBM Watson’s Language, Vision, Speech and Data APIs. AlchemyAPI provides cloud based and text analysis infrastructure that eliminates the expense and difficulty of integrating natural language processing systems into application, service, or data processing pipeline.AlchemyLanguage is a collection of APIs that offer text analysis through natural language processing. The AlchemyLanguage APIs can analyze text and help you to understand its sentiment, keywords, entities, high-level concepts and more.Concept Insights offers a set of services that enable you to do content recommendation and exploration.Relationship Extraction leverages Watson machine learning technologies. The API can analyze news articles and use statistical modeling to perform linguistic analysis of the input text. It then finds spans of text and clusters them together to form entities, before finally extracting the relationships between them.

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1 Reviews
  • Jamie
    September 23, 2017 at 11:25 am

    Uncovering of insights from structured and unstructured data

    Company size

    Medium (50 to 1000)

    User Role

    IT Support

    User Industry

    Pharmaceutical

    Rating
    Ease of use8.4

    Features & Functionality8.1

    Advanced Features8.4

    Integration8.2

    Training 8.2

    Customer Support8.2

    ADDITIONAL INFORMATION
    The Natural Language Understanding enables uncovering of insights from structured and unstructured data. The Natural Language Understanding facilitates analyzing of text to extract meta-data from content. The extraction of meta-data consists of concepts, keywords, categories, entities, semantic roles and relations. The Natural Language Understanding provides a good platform for users to understand emotions and sentiments. This is achieved by Natural Language Understanding being able to return both emotion and overall sentiment for a document and targeting of sentiment and emotion towards keywords in the text for deeper analysis. The Natural Language Understanding from IBM enables understanding of text in nine languages majorly through customization with Watson Knowledge Studio. The Natural Language Understanding facilitates natural language processing for the advanced text analysis. The Natural Language Understanding also features the conversation feature that quick building and deployment of chatbots and virtual agents across a variety of channels. The conversation feature also provides reliable infrastructure that is able to match with individual use cases, therefore providing users with the backing they need.

Ease of use
Features & Functionality
Advanced Features
Integration
Performance
Training
Customer Support
Implementation
Renew & Recommend

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