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What is SAS Text Miner?

SAS Text Miner facilitates the extraction of valuable insights from diverse text documents, uncovering hidden themes and concepts. This tool adeptly combines quantitative information with unstructured text, effectively blending text mining with traditional data mining techniques. Being a part of the SAS® Enterprise Miner suite, it requires that SAS Enterprise Miner is installed on the same system to function properly. Furthermore, SAS High-Performance Text Mining can run on both a grid of computers or a single machine with multiple CPUs, making it flexible for various computing environments. The text algorithms used are optimized for multi-threading and operate in memory, which greatly improves both speed and efficiency while reducing input/output load. Users can access SAS Text Miner as nodes within the SAS High-Performance Data Mining framework or through the procedures PROC HPTMINE and PROC HPTMSCORE. To better understand SAS technology, individuals can take advantage of training courses provided by analytics experts, which will help them attain a thorough grasp of the available tools. Gaining expertise in these areas not only boosts one’s analytical skills but also enhances overall capabilities in data mining and analysis methodologies. Ultimately, mastering these techniques can empower users to make more informed decisions based on data-driven insights.

What is Cognitive Workbench?

ExB offers a Cognitive Process Automation platform powered by AI and ML that enables insurance firms to transform various forms of text into actionable insights for managing inputs and automating processes. With features such as pre-trained models for policy and claims management, as well as text mining capabilities for report analysis, insurance companies can enhance their operational efficiency. Additionally, they have the option to request the development of custom models tailored to their specific business workflows, further optimizing their processes. This flexibility ensures that the platform can adapt to the unique needs of each insurance provider, making it a valuable tool in the industry.

Media

Media

Integrations Supported

Integrations Supported

DocuWare
Kissflow
SAP ERP
SS&C Blue Prism
Salesforce
UiPath

API Availability

API Availability

Has API

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided
Free Trial Offered?

Supported Platforms

SaaS

Supported Platforms

SaaS
Windows
Mac
Linux

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

SAS Institute

Date Founded

1976

Company Location

United States

Company Website

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

Company Facts

Organization Name

ExB Group

Date Founded

2000

Company Location

Germany

Company Website

exb.de

Categories and Features

Text Analytics

Not specified

Text Mining

Boolean Queries
Document Filtering
Language Detection
Predictive Modeling
Sentiment Analysis
Taxonomy Classification
Topic Clustering

Categories and Features

Data Extraction

Disparate Data Collection
Document Extraction
Email Address Extraction
IP Address Extraction
Image Extraction
Phone Number Extraction
Pricing Extraction
Web Data Extraction

Natural Language Processing

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

OCR

Batch Processing
Metadata Extraction
Multi-Language
Multiple Output Formats

Text Analytics

Not specified

Text Mining

Boolean Queries
Document Filtering
Language Detection
Predictive Modeling
Sentiment Analysis
Summarization
Tagging
Taxonomy Classification
Text Analysis
Topic Clustering

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