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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 Conversus.AI?

Take control of your analytics with the leading Machine Learning-as-a-Service platform specifically designed for analyzing unstructured social media content and voice-of-customer text. Our team of experts is ready to help you develop advanced, customized social models that effectively leverage, deploy, generalize, and capitalize on your data. It is essential to align your social listening initiatives with top-notch AI strategies that prioritize transparency, accuracy, and fairness in every aspect. Whether you are new to social listening or seeking to optimize your current solutions, our highly skilled professionals are available to guide you throughout the process. You have valuable data at your disposal, and it's time to extract critical insights from it. We provide a wide range of leading programmatic insight solutions driven by our state-of-the-art AI classifiers, allowing you to select from a vast library of prebuilt machine learning models tailored to various sectors for quick implementation. It is vital to ensure that your models are free from unintended bias or inaccuracies. Before deploying any model, gain a thorough understanding of its performance to guarantee that your analytics are trustworthy and impactful. Our mission is to empower you to make well-informed decisions that lead to significant outcomes. By utilizing our services, you can transform your data into actionable insights that can drive your business forward.

Media

Media

Integrations Supported

Brandwatch

Integrations Supported

Brandwatch

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

Converseon

Date Founded

2001

Company Location

United States

Company Website

converseon.com

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

Text Mining

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

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