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Ratings and Reviews 0 Ratings
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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 Hyland Document Filters?
Discover what firms like Cisco, Reveal Data, and Absolute Software have learned about Catalyst and similar products! Document Filters serves as an essential toolkit for facilitating file inspection and processing capabilities within applications for eDiscovery, data loss prevention, text analysis, and content management. It empowers users to search through, archive, and retrieve files efficiently. Are your users overwhelmed by the variety of file formats and the sheer volume of documents? We delve into how Document Filters enhances efficiency and delivers customer value, significantly benefiting all users in the process. Furthermore, Document Filters enables software developers to embed top-tier file identification features into their applications. By utilizing intelligent file identification, Document Filters effectively analyzes source content without solely depending on the filename extension, ensuring more accurate processing. This innovative approach not only streamlines workflows but also elevates the overall user experience.
Integrations Supported
.NET
C
C#
C++
Hyland RPA
Java
Python
API Availability
Has API
API Availability
Has API
Pricing Information
Pricing not provided.
Free Trial Offered?
Free Version
Pricing Information
Pricing not provided.
Free Trial Offered?
Free Version
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Customer Service / Support
Standard Support
24 Hour 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
Hyland
Date Founded
1991
Company Location
United States
Company Website
www.hyland.com/en/solutions/products/document-filters
Categories and Features
Text Mining
Boolean Queries
Document Filtering
Graphical Data Presentation
Language Detection
Predictive Modeling
Sentiment Analysis
Summarization
Tagging
Taxonomy Classification
Text Analysis
Topic Clustering
Categories and Features
Document Management
Access Controls
Archiving & Retention
Collaboration Tools
Compliance Tracking
Document Archiving
Document Assembly
Document Capture
Document Conversion
Document Delivery
Document Indexing
Document Retention
Electronic Signature
Email Management
File Recovery
File Type Conversion
Forms Management
Full Text Search
Offline Access
Optical Character Recognition
Print Management
Version Control