Average Ratings 0 Ratings
Average Ratings 0 Ratings
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.
Description
Capture, analyze, and recognize not just various document types but also the essential business information within them, all through automated processes. Tackle Ai seamlessly manages structured and unstructured documents, along with complex images, eliminating the need for human involvement. This innovative solution empowers organizations to achieve a deeper and more insightful comprehension of their data while significantly lowering both labor costs and document management expenses. Tasks that previously took hours or even days can now be accomplished in mere seconds, all at a fraction of the traditional costs. It automatically detects crucial information, grasps the context surrounding that information, and differentiates between various documents. The system operates at high speed, processing 10,000 documents in moments, and requires no additional training for employees on new software. Furthermore, it can efficiently handle a wide range of client needs, including automatic redaction, data extraction, and auto-filing, making it an invaluable tool for any business. With its advanced capabilities, Tackle Ai not only streamlines operations but also enhances overall productivity.
API Access
Has API
No
API Access
Has API
No
Integrations
No details available.
Integrations
No details available.
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
No price information available.
Free Trial
No
Free Version
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
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)
No
Online Support
Yes
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
Yes
In Person
Yes
Types of Training
Training Docs
No
Webinars
No
Live Training (Online)
Yes
In Person
Yes
Vendor Details
Company Name
SAS Institute
Founded
1976
Country
United States
Website
support.sas.com/en/software/text-miner-support.html
Vendor Details
Company Name
Tackle Ai
Country
United States
Website
www.tackleai.com
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
Product Features
Artificial Intelligence
Chatbot
No
For Healthcare
No
For Sales
No
For eCommerce
No
Image Recognition
No
Machine Learning
No
Multi-Language
No
Natural Language Processing
No
Predictive Analytics
No
Process/Workflow Automation
No
Rules-Based Automation
No
Virtual Personal Assistant (VPA)
No
Qualitative Data Analysis
Annotations
No
Collaboration
No
Data Visualization
No
Media Analytics
No
Mixed Methods Research
No
Multi-Language
No
Qualitative Comparative Analysis
No
Quantitative Content Analysis
No
Sentiment Analysis
No
Statistical Analysis
No
Text Analytics
No
User Research Analysis
No
Text Mining
Boolean Queries
No
Document Filtering
No
Graphical Data Presentation
No
Language Detection
No
Predictive Modeling
No
Sentiment Analysis
No
Summarization
No
Tagging
No
Taxonomy Classification
No
Text Analysis
No
Topic Clustering
No