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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 Text Analytics?

Harness natural language processing to gain valuable insights from unstructured text without requiring any machine learning knowledge, by utilizing an array of features from the Cognitive Services for Language. Elevate your understanding of customer emotions through sentiment analysis and identify key phrases and entities such as people, places, and organizations to uncover common themes and patterns. Use specialized, pretrained models to classify medical terminology specific to various fields. Evaluate text across multiple languages and reveal essential concepts within the content, which include key phrases and named entities that highlight individuals, events, and organizations. Delve into customer feedback regarding your brand while examining sentiments linked to specific topics through opinion mining techniques. Additionally, derive critical insights from unstructured clinical documents, including doctors' notes, electronic health records, and patient intake forms, by applying text analytics tailored for healthcare settings, ultimately enhancing patient care and informing decision-making processes. By integrating these advanced capabilities, organizations can stay ahead of trends and better meet the needs of their stakeholders.

Media

Media

Integrations Supported

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

Integrations Supported

Azure Marketplace
TAS Insight Engine
Unremot

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided
Free Trial Offered?

Supported Platforms

SaaS

Supported Platforms

SaaS
On-Prem

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

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/services/cognitive-services/text-analytics/

Categories and Features

Data Extraction

Not specified

Text Analytics

Not specified

Categories and Features

Natural Language Processing

Co-Reference Resolution
In-Database Text Analytics
Named Entity Recognition
Natural Language Generation (NLG)
Open Source Integrations
Part-of-Speech Tagging
Sentence Segmentation
Stemming/Lemmatization

Sentiment Analysis

Not specified

Text Analytics

Not specified

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