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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 BytesView?

BytesView is an advanced text analytics tool that leverages machine learning and natural language processing to effectively manage and evaluate extensive text data from various origins. It simplifies the process of compiling and interpreting vast quantities of unstructured text, providing numerous options for text mining and analysis to uncover meaningful insights. Additionally, BytesView features API Services that enable the development of tailored data analysis models, specifically designed to enhance precision and productivity based on your organization's unique data requirements. This flexibility allows businesses to adapt their analytical approaches to better suit their specific needs.

Media

Media

Integrations Supported

Integrations Supported

Google Sheets
Zapier
Zendesk

API Availability

API Availability

Has API

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub

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

Algodom Media

Company Website

www.bytesview.com

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

Sentiment Analysis

Not specified

Text Analytics

Not specified

Text Mining

Predictive Modeling
Sentiment Analysis
Summarization
Tagging
Text Analysis

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