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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 Dandelion API?

Identify mentions of places, people, brands, and events across a variety of documents and social media channels. Seamlessly obtain additional details about these entities. Organize multilingual content into pre-established categories or develop a custom classification framework in a matter of minutes. Evaluate the sentiment expressed in short texts, like product reviews, determining if it is positive, negative, or neutral. Automatically detect important, contextually relevant concepts and key phrases within articles and social media posts. Compare two texts to analyze their syntactic and semantic similarity. Ascertain when two pieces of text relate to the same subject matter. Extract refined textual content from sources such as newspapers and blogs, removing extraneous material and advertisements to present the complete article along with its accompanying images. This method not only improves the readability of the extracted text but also highlights the most critical information, making it easier for users to grasp essential insights. By streamlining this process, users can focus more on content analysis rather than sifting through irrelevant clutter.

Media

Media

Integrations Supported

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

Integrations Supported

OpenRefine
Pipedream
Unremot
Virtuoso
WordPress

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided

Pricing Information

$49 per month
Free Version

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / 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

SpazioDati

Date Founded

2007

Company Location

Italy

Company Website

dandelion.eu/

Categories and Features

Data Extraction

Not specified

Text Analytics

Not specified

Categories and Features

Data Extraction

Not specified

Sentiment Analysis

Not specified

Text Mining

Not specified

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