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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 IQUALIF?

IQUALIF CPE empowers users to capture a remarkable increase in volume—up to 40% more—than its competitors, leading to considerable time savings and improved efficiency for organizations. This robust tool facilitates the extraction of both bulk and targeted data, which includes vital information such as addresses, email addresses, and phone numbers. By broadening business prospects in both the Business to Business (B2B) and Business to Customer (B2C) arenas, IQUALIF emerges as an indispensable tool. Its reputation as the leading contact extraction software stems from its ability to search through a multitude of directories and websites. What distinguishes IQUALIF from others is the extensive range of data it gathers, as it sources information from multiple origins rather than relying on a single website or directory. Since approximately 40% of contacts can be sourced from secondary directories not featured in traditional yellow or white pages, this significantly broadens your potential contact pool and enhances your marketing capabilities. Catering to a diverse array of professionals—including call centers, communication agencies, local government bodies, and businesses seeking trustworthy contact details—IQUALIF enables users to refine their outreach strategies effectively. Moreover, the tool’s flexibility allows organizations to adapt their approaches to meet specific needs, ultimately driving superior results.

Media

Media

Integrations Supported

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

Integrations Supported

API Availability

Has API

API Availability

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided
Free Version

Supported Platforms

SaaS

Supported Platforms

Windows
Mac

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
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

IQUALIF

Date Founded

2000

Company Location

United States

Company Website

www.iqualif.com/en/

Categories and Features

Data Extraction

Not specified

Text Analytics

Not specified

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

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