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What is Watson Natural Language Understanding?

Watson Natural Language Understanding is a cloud-based solution that utilizes advanced deep learning methods to extract metadata from text, such as entities, keywords, categories, sentiment, emotions, relationships, and syntactic structures. Engage deeply with your data through text analysis, allowing for the extraction of keywords, concepts, categories, and beyond. This service can analyze unstructured data in more than thirteen different languages. With its pre-built machine learning models for text mining, it achieves an impressive level of accuracy in processing your content. You have the flexibility to deploy Watson Natural Language Understanding behind your firewall or on any preferred cloud platform. Tailor Watson to understand the unique language of your business and obtain customized insights through Watson Knowledge Studio. Your ownership of data is safeguarded, as we prioritize the security and confidentiality of your information, ensuring that IBM will not collect or retain your data. By leveraging our advanced natural language processing (NLP) tools, developers can effectively decipher and extract significant insights from their unstructured data, thereby improving their decision-making processes. This cutting-edge method not only simplifies data analysis but also empowers organizations to fully exploit their information resources, leading to better strategic outcomes. Organizations that embrace this technology are likely to see enhanced efficiency and innovation across their operations.

What is Azure CLU?

Create applications that leverage advanced conversational language understanding, a sophisticated AI capability designed to accurately decipher natural language, enabling the identification of user goals and the extraction of key information from conversations. Build customizable models tailored for intent classification and entity extraction that address specific terminology across 96 languages, allowing for training in one language while applying the developed models across others without the need for retraining. Rapidly generate intents and entities, all while efficiently labeling your own utterances. Integrate prebuilt components from a wide array of commonly used types to streamline your development process. Evaluate your models with built-in quantitative metrics like precision and recall, ensuring high levels of accuracy. Effortlessly manage model deployments through an intuitive dashboard available in the user-friendly language studio. Additionally, seamlessly connect with other features provided within Azure AI Language and Azure Bot Service to develop a holistic conversational solution. This cutting-edge approach to conversational language comprehension signifies a significant advancement in Language Understanding (LUIS) technology. As you delve into this tool, you will uncover innovative strategies to enhance user engagement and optimize the performance of your applications. Moreover, the flexibility of this system allows for continuous improvement and adaptation to evolving user needs.

Media

Media

Integrations Supported

Azure AI Bot Service
Azure AI Services
LUIS
Microsoft Azure
Microsoft Bot Framework
TAS Insight Engine

Integrations Supported

Azure AI Bot Service
Azure AI Services
LUIS
Microsoft Azure
Microsoft Bot Framework
TAS Insight Engine

API Availability

Has API

API Availability

Has API

Pricing Information

$0.003 per NLU item
Free Trial Offered?
Free Version

Pricing Information

$2 per month
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

IBM

Date Founded

1911

Company Location

United States

Company Website

www.ibm.com/cloud/watson-natural-language-understanding

Company Facts

Organization Name

Microsoft

Date Founded

1975

Company Location

United States

Company Website

azure.microsoft.com/en-us/products/ai-services/conversational-language-understanding/

Categories and Features

Emotion Recognition

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

Natural Language Processing

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

Text Mining

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

Categories and Features

Natural Language Processing

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

Popular Alternatives

Popular Alternatives

LUIS Reviews & Ratings

LUIS

Microsoft
HumanFirst Reviews & Ratings

HumanFirst

HumanFirst.ai