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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 NetOwl EntityMatcher?

NetOwl EntityMatcher provides a dependable, quick, and scalable identity resolution solution that considers not only the resemblances in entity names but also vital characteristics such as date of birth, place of birth, address, and nationality. In addition, it facilitates identity resolution through social network information, which may include details about an individual’s employer, spouse, or associates. Leveraging its unique search and indexing engine, NetOwl integrates evidence from a variety of entity record attributes, presenting a highly efficient, scalable, and intuitive method for matching. Users are empowered to set specific business rules tailored to their applications, determining which combinations of record attributes should be matched and the significance of each attribute. Moreover, the system's incorporation of the machine learning-based multicultural and multilingual name matching solution, NetOwl NameMatcher, elevates the complexity and effectiveness of name matching across various entity types. This integration not only boosts accuracy but also enhances adaptability in a wide range of identity resolution situations, thereby making it a robust tool for users facing diverse challenges.

Media

Media

Integrations Supported

ArcGIS
Elasticsearch
Google Maps
IBM Cloud
Kibana
MarkLogic
Palantir Apollo
SolrCommerce
Tableau

Integrations Supported

ArcGIS
Elasticsearch
Google Maps
IBM Cloud
Kibana
MarkLogic
Palantir Apollo
SolrCommerce
Tableau

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Documentation Hub
On-Site Training

Training Options

Documentation Hub
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

NetOwl

Date Founded

1996

Company Location

United States

Company Website

www.netowl.com/identity-resolution

Categories and Features

Data Extraction

Not specified

Text Analytics

Not specified

Categories and Features

Identity Resolution

Not specified

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