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What is Luminoso?

Luminoso revolutionizes the way unstructured text data is transformed into essential business insights. By harnessing common-sense artificial intelligence, we enable organizations to comprehend and act upon the information they receive. Our platform is designed to require minimal setup, ongoing maintenance, or training, and it operates without the need for any initial data input. Luminoso merges cutting-edge natural language understanding technology with an extensive knowledgebase to learn and interpret words in context as humans do, allowing for rapid text analysis that takes minutes rather than months. Furthermore, our software supports over a dozen languages natively, empowering leaders to swiftly investigate data relationships, understand feedback, and prioritize queries to maximize value. As a privately held company, Luminoso is based in Boston, MA, and is dedicated to simplifying the complexity of data interpretation for organizations worldwide.

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

Integrations Supported

Azure AI Bot Service
Azure AI Services
LUIS
Microsoft Azure
Microsoft Bot Framework

API Availability

API Availability

Pricing Information

$1250/month

Pricing Information

$2 per month
Free Trial Offered?

Supported Platforms

SaaS
Windows
Mac
Linux

Supported Platforms

SaaS

Customer Service / Support

Standard 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

Company Facts

Organization Name

Luminoso Technologies Inc.

Date Founded

2010

Company Location

United States

Company Website

luminoso.com

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

Customer Experience

Analytics
Customer Segmentation
Dashboard
Sentiment Analysis
Text Analysis

Data Analysis

Data Discovery
Data Visualization
High Volume Processing
Predictive Analytics
Sentiment Analysis
Text Analytics

Experience Management

Analytics
Customer Segmentation
Sentiment Analysis
Text Analysis

Machine Learning

Deep Learning
Model Training
Natural Language Processing (NLP)
Visualization

Natural Language Processing

In-Database Text Analytics
Parsing
Part-of-Speech Tagging
Stemming/Lemmatization
Tokenization

Predictive Analytics

AI / Machine Learning
Sentiment Analysis

Qualitative Data Analysis

Data Visualization
Mixed Methods Research
Multi-Language
Qualitative Comparative Analysis
Quantitative Content Analysis
Sentiment Analysis
Statistical Analysis
Text Analytics
User Research Analysis

Text Mining

Document Filtering
Graphical Data Presentation
Sentiment Analysis
Summarization
Tagging
Taxonomy Classification
Text Analysis
Topic Clustering

Categories and Features

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