Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Develop applications utilizing conversational language understanding, an advanced AI capability that interprets user intentions and extracts crucial details from informal dialogue. Design customizable intent classification and entity extraction models tailored to your specific terminology across 96 different languages, allowing for multilingual functionality without the need for retraining after initial training in one language. Swiftly generate intents and entities while tagging your own utterances, and incorporate prebuilt components from an extensive range of standard types. Assess your models using integrated quantitative metrics such as precision and recall to ensure optimal performance. A user-friendly dashboard simplifies the management of model deployments within the accessible language studio. Effortlessly integrate with various other features in Azure AI Language, alongside Azure Bot Service, to create a comprehensive conversational experience. This conversational language understanding represents the evolution of Language Understanding (LUIS) and enhances the way users interact with technology. As the demand for intuitive communication increases, leveraging this technology can significantly improve user engagement and satisfaction.
Description
NetOwl Extractor provides exceptionally precise, rapid, and scalable entity extraction across various languages through the use of AI-driven natural language processing and machine learning techniques. This named entity recognition tool can be utilized both on-site and in the cloud, facilitating a wide range of Big Data Text Analytics applications. Supporting over 100 distinct entity types, NetOwl presents a comprehensive semantic ontology for entity extraction that surpasses conventional named entity extraction tools. Its offerings encompass individuals, numerous organization categories (such as corporations and government entities), diverse geographic locations (including nations and cities), as well as addresses, artifacts, phone numbers, and titles. This extensive named entity recognition (NER) serves as a crucial basis for more sophisticated relationship and event extraction processes. The software is applicable across various sectors, including Business, Finance, Politics, Homeland Security, Law Enforcement, Military, National Security, and Social Media, making it a versatile choice for organizations seeking in-depth textual analysis. Furthermore, its adaptability to different environments ensures that users can effectively harness its capabilities to meet their specific needs.
API Access
Has API
No
API Access
Has API
Yes
Integrations
ArcGIS
No
Azure AI Bot Service
Yes
Azure AI Services
Yes
Elasticsearch
No
Google Maps
No
IBM Cloud
No
Kibana
No
LUIS
Yes
MarkLogic
No
Microsoft Azure
Yes
Integrations
ArcGIS
Yes
Azure AI Bot Service
No
Azure AI Services
No
Elasticsearch
Yes
Google Maps
Yes
IBM Cloud
Yes
Kibana
Yes
LUIS
No
MarkLogic
Yes
Microsoft Azure
No
Pricing Details
$2 per month
Free Trial
Yes
Free Version
No
Pricing Details
No price information available.
Free Trial
No
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
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
Yes
Live Rep (24/7)
Yes
Online Support
Yes
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
Yes
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
Yes
Vendor Details
Company Name
Microsoft
Founded
1975
Country
United States
Website
azure.microsoft.com/en-us/products/ai-services/conversational-language-understanding/
Vendor Details
Company Name
NetOwl
Founded
1996
Country
United States
Website
www.netowl.com/entity-extraction
Product Features
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
Data Extraction
Disparate Data Collection
No
Document Extraction
No
Email Address Extraction
No
IP Address Extraction
No
Image Extraction
No
Phone Number Extraction
No
Pricing Extraction
No
Web Data Extraction
No