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features
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support

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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.

Description

We have been pioneers in the development of clinical NLP platforms and their applications for over 15 years. This has resulted in high precision and accuracy. Our core competency is to interpret unstructured notes accurately and at scale. Tested on billions of real clinical notes and documents. AI that can explain with context, reasoning, and evidence for output. NLP with medical knowledge infused with 4M+ entities and 50M+ relationships. Innovative Machine Learning (ML), & Deep Learning(DL) models were used to build this NLP. Use a foundation of rich ontologies and clinician-specific terminologies. We can understand, interpret, and extract context & significance from the inconsistent, inconsistent, and non-standard data contained in medical documents. Our clinical domain experts continually infuse knowledge graphs to our NLP by mapping all clinical entities and their relationship between them. We have more than 4,000,000 entities and 50,000,000 relationships.

API Access

Has API Yes 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

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

Integrations

ArcGIS No 
Elasticsearch No 
Google Maps No 
IBM Cloud No 
Kibana No 
MarkLogic No 
Palantir Apollo No 
SolrCommerce No 
Tableau No 

Pricing Details

No price information available.
Free Trial No 
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) No 
Online Support Yes 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person Yes 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) Yes 
In Person Yes 

Vendor Details

Company Name

NetOwl

Founded

1996

Country

United States

Website

www.netowl.com/entity-extraction

Vendor Details

Company Name

RAAPID INC

Founded

2022

Country

United States

Website

www.raapidinc.com

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 

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 

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