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Average Ratings 0 Ratings

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Description

InfoMiner is a cutting-edge platform for Intelligent Document Processing (IDP) that utilizes artificial intelligence to streamline the extraction, classification, validation, and processing of documents. In contrast to conventional OCR technology, InfoMiner comprehends the context of documents and is adept at handling a variety of formats including PDFs, scanned materials, images, emails, spreadsheets, and diverse document layouts without being constrained by fixed templates. This solution enables organizations to automate various workflows such as invoice processing, accounts payable automation, purchase orders, logistics documentation, proof of deliveries, bills of lading, manifests, quality compliance records, and other tasks that are heavily reliant on documentation. The AI component not only extracts and verifies data in accordance with established business rules but also features human-in-the-loop functionality that enhances accuracy and fosters ongoing improvement. Targeted at sectors like Manufacturing, Logistics, Supply Chain, Finance, Healthcare, Life Sciences, and Consumer Packaged Goods/Nutraceuticals, InfoMiner is engineered to meet the specific needs of these industries. By integrating this advanced technology into their operations, businesses can significantly boost efficiency and reduce the time spent on manual data entry tasks.

Description

SAS Text Miner allows for the extraction of insights from a variety of text documents, revealing underlying themes and concepts. This tool effectively integrates quantitative data with unstructured text, merging text mining with conventional data mining approaches. As part of the SAS® Enterprise Miner suite, it necessitates that SAS Enterprise Miner is installed on the same system. Additionally, SAS High-Performance Text Mining can operate on either a computer grid or a single machine equipped with multiple CPUs. The text algorithms employed are designed to be multi-threaded and work in-memory, significantly enhancing both responsiveness and concurrency while minimizing input/output strain. Users can access SAS Text Miner as nodes within the SAS High-Performance Data Mining framework or utilize it through the procedures PROC HPTMINE and PROC HPTMSCORE. To quickly grasp SAS technology, individuals can benefit from courses offered by analytics professionals, ensuring they gain a comprehensive understanding of the tools available. Enhancing one’s knowledge in this area can lead to greater proficiency in data analysis and mining techniques.

API Access

Has API Yes 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

DELMIAworks Yes 
Microsoft Dynamics 365 Yes 
NetSuite Yes 
QAD Adaptive ERP Yes 

Integrations

DELMIAworks No 
Microsoft Dynamics 365 No 
NetSuite No 
QAD Adaptive ERP No 

Pricing Details

$99/user/month
Free Trial Yes 
Free Version No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Deployment

Web-Based Yes 
On-Premises Yes 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac Yes 
Linux Yes 
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) Yes 
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) Yes 
In Person Yes 

Types of Training

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

Vendor Details

Company Name

Accelerant Software Inc

Founded

2006

Country

United States

Website

accelerant.com

Vendor Details

Company Name

SAS Institute

Founded

1976

Country

United States

Website

support.sas.com/en/software/text-miner-support.html

Product Features

Text Mining

Boolean Queries Yes 
Document Filtering Yes 
Graphical Data Presentation No 
Language Detection Yes 
Predictive Modeling Yes 
Sentiment Analysis Yes 
Summarization No 
Tagging No 
Taxonomy Classification Yes 
Text Analysis No 
Topic Clustering Yes 

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