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SAS Text Miner
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SAS Text Miner

Overview
Synopsis

SAS Text Miner provides a rich suite of linguistic and analytical modeling tools specifically developed for discovering and extracting knowledge from collections of text content.

Category

Text Analytics Software

Features

• High-performance text mining
• User-friendly, flexible interface
• Automatic Boolean rule generation
• Term profiling and trending
• Document theme discovery
• Visual interrogation of results
• Flexible entity options
• Easy text importing
• Native support for multiple languages

License

Proprietary

Price

Contact for Pricing

Pricing

Subscription

Free Trial

Available

Users Size

Small (<50 employees), Medium (50 to 1000 employees), Enterprise (>1000 employees)

Company

SAS

What is best?

• High-performance text mining
• User-friendly, flexible interface
• Automatic Boolean rule generation
• Term profiling and trending
• Document theme discovery
• Visual interrogation of results
• Flexible entity options

What are the benefits?

• Improve model performance.
• Automatically know more
• Add subject-matter expertise
• Determine what's hot and what's not

PAT Rating™ ( Beta)
Editor Rating
Aggregated User Rating
Rate Here
Ease of use
7.8
8.2
Features & Functionality
7.8
8.3
Advanced Features
7.8
8.1
Integration
7.8
8.2
Performance
7.8
Training
8.2
Customer Support
7.8
8.2
Implementation
4.9
Renew & Recommend
Bottom Line

SAS Text Miner discovers information buried in collections of text. By automatically reading text data and delivering algorithms for rigorous, advanced analyses, the solution makes it possible to grasp future trends and act on new opportunities more precisely and with less risk.

7.8
Editor Rating
7.7
Aggregated User Rating
2 ratings
You have rated this

SAS Text Miner discovers information buried in collections of text. By automatically reading text data and delivering algorithms for rigorous, advanced analyses, the solution makes it possible to grasp future trends and act on new opportunities more precisely and with less risk. It includes advanced linguistic capabilities within the core data mining solution of SAS Enterprise Miner to extend text insights into structured data mining and predictive analysis. SAS Text Miner provides a rich suite of linguistic and analytical modeling tools specifically developed for discovering and extracting knowledge from collections of text content. Across electronic text snippets, document archives and Web downloads, patterns can be automatically identified as topics and themes, defining explicit associations between terms and phrases.

SAS Text Miner

SAS Text Miner

SAS Text Miner

The Text Analytics software provides supervised, unsupervised and semi supervised methods to discover previously unknown patterns in document collections. It structures data in a numeric representation so that it can be included in advanced analytics, such as predictive analysis, data mining and forecasting. This version also includes insightful reports describing the results from the rule generator node, providing clarity to model training and validation results.

SAS Text Miner

SAS Text Miner

The features include high-performance text mining, user-friendly, flexible interface, automatic boolean rule generation, term profiling and trending, document theme discovery, visual interrogation of results, flexible entity options, easy text importing, native support for multiple languages.

SAS Text Miner processes in a symmetric multiprocessing (SMP) mode, taking advantage of multicore processers on an enabled SAS server decreasing processing times for compute-intensive tasks such as text parsing and singular value decomposition (SVD) generation. High-performance text parsing includes automated part-of-speech and noun group detection, entity and multiword term identification, stemming and synonym detection. High-performance, target-based weighting is available for more accurate categorical target estimates.Graphical and tabular output assesses terms and their distributions within a collection.

SAS Text Miner

SAS Text Miner

Term profiling enables you to describe and predict a target variable based on the detailed terms.Automatic Boolean rule generation resulting rules can be used to directly categorize documents based on rule matches. Allows rules to also be exported as Boolean rules – and used as a starter rule set for SAS Enterprise Content Categorization. User-friendly, flexible interface use topic displays to show document terms/all terms, highlighting why a document was assigned to a particular topic.

SAS Text Miner

SAS Text Miner

Integrated document filtering sophisticated dimension reduction techniques that enable advanced filtering through weighting, integrated spell checking and transformation of qualitative data into compact formats.Visual analysis of results use the concept link diagram to analyze results visually and to effectively explore the relationships between terms. Interactive text importing interface dynamically create data sets from files contained in a directory or crawled from the web. Native support for multiple languages.

 

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1 Reviews
  • Dylan
    August 28, 2017 at 11:24 am

    Analyze text data from various sources

    Company size

    Enterprise (>1001)

    User Role

    End User

    User Industry

    Aerospace

    Rating
    Ease of use8.2

    SAS Text Miner is a text mining software that enables its users to analyze text data from various sources such as the web, comment fields, books as well as other text sources.

    Features & Functionality8.3

    Advanced Features8.1

    Integration8.2

    Training 8.2

    Customer Support8.2

    ADDITIONAL INFORMATION
    By using its SAS Text Miner’s machine learning and natural language processing techniques, you will be able to do more automatically which saves time for better performance. And with its user friendly interface, users can easily utilize the program.

Ease of use
Features & Functionality
Advanced Features
Integration
Performance
Training
Customer Support
Implementation
Renew & Recommend

What's your reaction?
Love It
8%
Very Good
8%
INTERESTED
8%
COOL
8%
NOT BAD
8%
WHAT !
54%
HATE IT
8%