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Description

Language Understanding (LUIS) is an advanced machine learning service designed to incorporate natural language capabilities into applications, bots, and IoT devices. It allows for the rapid creation of tailored models that enhance over time, enabling the integration of natural language features into your applications. LUIS excels at discerning important information within dialogues by recognizing user intentions (intents) and extracting significant details from phrases (entities), all contributing to a sophisticated language understanding model. It works harmoniously with the Azure Bot Service, simplifying the process of developing a highly functional bot. With robust developer resources and customizable pre-existing applications alongside entity dictionaries such as Calendar, Music, and Devices, users can swiftly construct and implement solutions. These dictionaries are enriched by extensive web knowledge, offering billions of entries that aid in accurately identifying key insights from user interactions. Continuous improvement is achieved through active learning, which ensures that the quality of models keeps getting better over time, making LUIS an invaluable tool for modern application development. Ultimately, this service empowers developers to create rich, responsive experiences that enhance user engagement.

Description

Semantria (natural language processing) API is offered by Lexalytics, a leader in enterprise sentiment analysis and text analysis since 2004. Semantria provides multi-layered sentiment analysis, categorization and entity recognition, theme analysis as well as intention detection, summarization, and summary in an easy to integrate RESTful API package. Semantria can be customized through graphical configuration tools. It supports 24 languages and can be deployed across public, private and hybrid clouds. Semantria scales easily from single servers to entire data centres and back again to meet your processing needs. Integrate Semantria for powerful, flexible text analytics and natural word processing capabilities to cloud-based data analysis products or enterprise business intelligence infrastructure. To create a complete business intelligence platform, you can add Lexalytics storage or visualization tools to store, manage, analyze, and visualize text documents.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Azure CLU Yes 
BotCore Yes 
Dydu Yes 
Geomant Yes 
Geomant Wallboard Yes 
Ideta Yes 
Lexalytics No 
Microsoft Entra ID Yes 
Neo Enterprise Assistant Platform Yes 
QnA Maker Yes 
Quickwork Yes 
Salience No 
Take Blip Yes 

Integrations

Azure CLU No 
BotCore No 
Dydu No 
Geomant No 
Geomant Wallboard No 
Ideta No 
Lexalytics Yes 
Microsoft Entra ID No 
Neo Enterprise Assistant Platform No 
QnA Maker No 
Quickwork No 
Salience Yes 
Take Blip No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

No price information available.
Free Trial Yes 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac No 
Linux Yes 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) Yes 
In Person Yes 

Vendor Details

Company Name

Microsoft

Founded

1975

Country

United States

Website

www.luis.ai/

Vendor Details

Company Name

Lexalytics

Founded

2004

Country

United States

Website

www.lexalytics.com

Product Features

Machine Learning

Deep Learning No 
ML Algorithm Library No 
Model Training No 
Natural Language Processing (NLP) No 
Predictive Modeling No 
Statistical / Mathematical Tools No 
Templates No 
Visualization No 

Natural Language Processing

Co-Reference Resolution No 
In-Database Text Analytics No 
Named Entity Recognition No 
Natural Language Generation (NLG) No 
Open Source Integrations No 
Parsing No 
Part-of-Speech Tagging No 
Sentence Segmentation No 
Stemming/Lemmatization No 
Tokenization No 

Product Features

Artificial Intelligence

Chatbot Yes 
For Healthcare Yes 
For Sales No 
For eCommerce No 
Image Recognition No 
Machine Learning Yes 
Multi-Language Yes 
Natural Language Processing Yes 
Predictive Analytics No 
Process/Workflow Automation Yes 
Rules-Based Automation No 
Virtual Personal Assistant (VPA) No 

Business Intelligence

Ad Hoc Reports Yes 
Benchmarking No 
Budgeting & Forecasting No 
Dashboard Yes 
Data Analysis Yes 
Key Performance Indicators No 
Natural Language Generation (NLG) No 
Performance Metrics No 
Predictive Analytics No 
Profitability Analysis No 
Strategic Planning No 
Trend / Problem Indicators Yes 
Visual Analytics Yes 

Customer Experience

Action Management No 
Analytics Yes 
Customer Segmentation No 
Dashboard Yes 
Feedback Management Yes 
Knowledge Management Yes 
Multi-Channel Collection Yes 
Sentiment Analysis Yes 
Survey Management Yes 
Text Analysis Yes 
Trend Analysis Yes 

Data Analysis

Data Discovery Yes 
Data Visualization Yes 
High Volume Processing Yes 
Predictive Analytics No 
Regression Analysis No 
Sentiment Analysis Yes 
Statistical Modeling No 
Text Analytics Yes 

Data Mining

Data Extraction No 
Data Visualization Yes 
Fraud Detection No 
Linked Data Management No 
Machine Learning Yes 
Predictive Modeling No 
Semantic Search Yes 
Statistical Analysis No 
Text Mining Yes 

Experience Management

Action Management No 
Analytics Yes 
Customer Segmentation No 
Dashboard Yes 
Feedback Management No 
Knowledge Management No 
Multi-Channel Collection Yes 
Sentiment Analysis Yes 
Survey Management No 
Text Analysis Yes 
Trend Analysis Yes 

Machine Learning

Deep Learning Yes 
ML Algorithm Library No 
Model Training Yes 
Natural Language Processing (NLP) Yes 
Predictive Modeling No 
Statistical / Mathematical Tools No 
Templates No 
Visualization Yes 

Natural Language Processing

Co-Reference Resolution Yes 
In-Database Text Analytics Yes 
Named Entity Recognition Yes 
Natural Language Generation (NLG) No 
Open Source Integrations No 
Parsing Yes 
Part-of-Speech Tagging Yes 
Sentence Segmentation Yes 
Stemming/Lemmatization Yes 
Tokenization Yes 

Qualitative Data Analysis

Annotations No 
Collaboration Yes 
Data Visualization Yes 
Media Analytics Yes 
Mixed Methods Research No 
Multi-Language Yes 
Qualitative Comparative Analysis Yes 
Quantitative Content Analysis No 
Sentiment Analysis Yes 
Statistical Analysis No 
Text Analytics Yes 
User Research Analysis No 

Social Media Analytics Tools

Campaign Analytics No 
Competitor Monitoring No 
Customizable Reports Yes 
Engagement Tracking Yes 
Influencer Tracking No 
Multi-Channel Data Collection No 

Social Media Monitoring

Audience Segmentation No 
Competitive Analysis No 
Configurable Alerts No 
Customer Engagement Yes 
Dashboard Yes 
Impact Scoring No 
Influencer Tracking No 
Reputation Management Yes 
Sentiment Analysis Yes 
Trend Tracking Yes 

Text Mining

Boolean Queries Yes 
Document Filtering Yes 
Graphical Data Presentation Yes 
Language Detection Yes 
Predictive Modeling No 
Sentiment Analysis Yes 
Summarization Yes 
Tagging Yes 
Taxonomy Classification Yes 
Text Analysis Yes 
Topic Clustering Yes 

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