Watson Natural Language Understanding Description

Watson Natural Language Understanding, a cloud native product, uses deep learning to extract metadata such as entities, keywords and categories, sentiments, emotions, relations, and syntax. Text analysis can be used to uncover the topics in your data. It extracts keywords, concepts and categories. Unstructured data can be analyzed in more than 13 languages. Machine learning models for text mining are available that can be used outside-of-the box to provide high accuracy across your content. Watson Natural Language Understanding can be deployed behind your firewall or on any other cloud. Watson Knowledge Studio allows you to train Watson to understand your business language and extract custom insights. You can keep control of your data and have the assurance that it is safe and secure. IBM will not store or collect your data. Our advanced natural language processing service (NLP), gives developers the tools to extract valuable insights from unstructured information.

Pricing

Pricing Starts At:
$0.003 per NLU item
Pricing Information:
First 1-250,000 items
Free Version:
Yes

Integrations

API:
Yes, Watson Natural Language Understanding has an API

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Company Details

Company:
IBM
Year Founded:
1911
Headquarters:
United States
Website:
www.ibm.com/cloud/watson-natural-language-understanding

Media

Watson Natural Language Understanding Screenshot 1
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Product Details

Platforms
SaaS
Type of Training
Documentation
Live Online
Webinars
In Person
Videos
Customer Support
Phone Support
24/7 Live Support
Online

Watson Natural Language Understanding Features and Options

Text Mining Software

Boolean Queries
Document Filtering
Graphical Data Presentation
Language Detection
Predictive Modeling
Sentiment Analysis
Summarization
Tagging
Taxonomy Classification
Text Analysis
Topic Clustering

Natural Language Processing Software

Co-Reference Resolution
In-Database Text Analytics
Named Entity Recognition
Natural Language Generation (NLG)
Open Source Integrations
Parsing
Part-of-Speech Tagging
Sentence Segmentation
Stemming/Lemmatization
Tokenization

Emotion Recognition Software

Facial Emotions
Facial Expression Analysis
Machine Learning
Photo Emotions
Speech Emotions
Video Emotions
Written Text Emotions