Axis AIAxis Technical Group
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DeepNLPSparkCognition
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Related Products
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About
There’s a wide range of solutions available today for automatically extracting data from structured and semi-structured content and documents, such as databases, websites, or paper-based forms, all of which can be easily read by machines using templates or sets of predefined or custom rules. However, some businesses such as real estate, healthcare, energy, and others still rely heavily on unstructured documents. These are inconsistent in layout or form, or contain key information in English-language sentences, paragraphs, or randomly throughout the documents, making them virtually impossible for machines to understand. Axis AI offers a far better choice with a revolutionary solution for classifying and extracting information from unstructured content. Using proprietary algorithms, including those used to perform Natural Language Processing (NLP), Axis AI reads and extracts data from sentences, paragraphs, or entire pages written in natural English.
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About
SparkCognition, a leading industrial AI company, has developed a natural language processing solution that automates workflows of unstructured data within organizations so humans can focus on high-value business decisions. The DeepNLP product uses advanced machine learning techniques to automate the retrieval of information, the classification of documents, and content analytics.
The DeepNLP product integrates into existing workflows to enable organizations to better respond to changes in their business and quickly get answers to specific queries or analytics that support decision-making.
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Platforms Supported
Windows
Not Supported
Mac
Not Supported
Linux
Not Supported
Cloud
Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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Platforms Supported
Windows
Not Supported
Mac
Not Supported
Linux
Supported
Cloud
Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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Audience
Companies seeking a tool for automatically extracting data from structured and semi-structured content
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Audience
Operations, maintenance, IT, call center professionals in oil & gas, consumer products, aviation, and government
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Support
Phone Support
Supported
24/7 Live Support
Not Supported
Online
Not Supported
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Support
Phone Support
Supported
24/7 Live Support
Not Supported
Online
Supported
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API
Offers API
Not Supported
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API
Offers API
Not Supported
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Screenshots and Videos |
Screenshots and Videos |
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Pricing
No information available.
Free Version
Not Supported
Free Trial
Not Supported
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Pricing
No information available.
Free Version
Not Supported
Free Trial
Not Supported
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Reviews/
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Reviews/
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Training
Documentation
Not Supported
Webinars
Not Supported
Live Online
Not Supported
In Person
Not Supported
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Training
Documentation
Supported
Webinars
Not Supported
Live Online
Not Supported
In Person
Not Supported
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Company InformationAxis Technical Group
Founded: 2002
United States
www.axis-ai.com
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Company InformationSparkCognition
Founded: 2013
United States
www.sparkcognition.com/products/deepnlp/
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Categories |
Categories |
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Data Extraction Features
Disparate Data Collection
Supported
Document Extraction
Supported
Email Address Extraction
Supported
Image Extraction
Not Supported
IP Address Extraction
Not Supported
Phone Number Extraction
Supported
Pricing Extraction
Supported
Web Data Extraction
Not Supported
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Machine Learning Features
Deep Learning
Not Supported
ML Algorithm Library
Not Supported
Model Training
Not Supported
Natural Language Processing (NLP)
Supported
Predictive Modeling
Not Supported
Statistical / Mathematical Tools
Supported
Templates
Not Supported
Visualization
Not Supported
Natural Language Processing Features
Co-Reference Resolution
Supported
In-Database Text Analytics
Supported
Named Entity Recognition
Supported
Natural Language Generation (NLG)
Not Supported
Open Source Integrations
Supported
Parsing
Supported
Part-of-Speech Tagging
Supported
Sentence Segmentation
Supported
Stemming/Lemmatization
Supported
Tokenization
Supported
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Integrations
NETGENIQ FABRIC
Not Supported
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