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What is NetOwl Extractor?

NetOwl Extractor offers highly accurate, fast, and scalable entity extraction in multiple languages by leveraging advanced AI-powered natural language processing and machine learning methods. This tool for named entity recognition can be deployed both on-premises and in cloud environments, making it suitable for a broad spectrum of Big Data Text Analytics applications. With support for over 100 unique entity types, NetOwl delivers a robust semantic ontology for entity extraction that outperforms traditional named entity extraction solutions. It encompasses a variety of entities, including people, multiple categories of organizations (like corporations and government bodies), various geographic locations (such as countries and cities), and also includes addresses, artifacts, phone numbers, and titles. This extensive NER functionality is essential for more complex relationship and event extraction tasks. The software finds applicability in numerous fields, including Business, Finance, Politics, Homeland Security, Law Enforcement, Military, National Security, and Social Media, making it a flexible option for organizations aiming for thorough textual insights. Additionally, its versatile nature allows users to tailor its usage to align with their specific analytical requirements, ensuring maximum effectiveness. As a result, NetOwl Extractor stands out as an indispensable tool for those engaged in comprehensive data analysis.

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

ArcGIS
Azure AI Bot Service
Azure AI Services
Elasticsearch
Google Maps
IBM Cloud
Kibana
LUIS
MarkLogic
Microsoft Azure
Microsoft Bot Framework
Palantir Apollo
SolrCommerce
Tableau

Integrations Supported

ArcGIS
Azure AI Bot Service
Azure AI Services
Elasticsearch
Google Maps
IBM Cloud
Kibana
LUIS
MarkLogic
Microsoft Azure
Microsoft Bot Framework
Palantir Apollo
SolrCommerce
Tableau

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
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

NetOwl

Date Founded

1996

Company Location

United States

Company Website

www.netowl.com/entity-extraction

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

Data Extraction

Disparate Data Collection
Document Extraction
Email Address Extraction
IP Address Extraction
Image Extraction
Phone Number Extraction
Pricing Extraction
Web Data Extraction

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