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tm – Text Mining Package
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tm – Text Mining Package

Overview
Synopsis

Text Mining Infrastructure in R(tm) provides a framework for text mining applications within R. R is a free software environment for statistical computing and graphics which compiles and runs on a wide variety of UNIX platforms, Windows and MacOS.

Category

Text Analytics Software Free

Features

• Integrated database back-end .
• Advanced meta data management
• Text document Management.
• Preprocessing and manipulation mechanisms
• Generic Filter Architecture

License

Open Source

Price

Free

Pricing

Subscription

Free Trial

Available

Users Size

Small (<50 employees), Medium (50 to 1000 employees), Enterprise (>1001 employees)

Company

tm - Text Mining Package

What is best?

• Integrated database back-end .
• Advanced meta data management
• Text document Management.
• Preprocessing and manipulation mechanisms

What are the benefits?

•It be extended to fit custom demands.
•Provides native support for reading in several classic file formats
•Supports the export from document collections to term-document matrices.

PAT Rating™ ( Beta)
Editor Rating
Aggregated User Rating
Ease of use
7.6
Features & Functionality
7.6
Advanced Features
7.6
Integration
7.6
Performance
7.6
Customer Support
7.6
Implementation
Renew & Recommend
Bottom Line

tm provides a framework for text mining applications within R and it has and advances meta data mangement with an integrated database back-end.

7.6
Editor Rating
Aggregated User Rating
You have rated this

Text Mining Infrastructure in R(tm) provides a framework for text mining applications within R. R is a free software environment for statistical computing and graphics which compiles and runs on a wide variety of UNIX platforms, Windows and MacOS. The tm package offers functionality for managing text documents, abstracts the process of document manipulation and eases the usage of heterogeneous text formats in R. The package has integrated database back-end support to minimize memory demands. An advanced meta data management is implemented for collections of text documents to alleviate the usage of large and with meta data enriched document sets. The package provides native support for reading in several classic file formats (e.g. plain text, PDFs, or XML files). There is also a plug-in mechanism to handle additional file formats. The data structures and algorithms can be extended to fit custom demands, since the package is designed in a modular way to enable easy integration of new file formats, readers, transformations and filter operations. tm provides easy access to preprocessing and manipulation mechanisms such as whitespace removal, stemming, or stopword deletion.There is also a generic filter architecture which filters documents for certain criteria, or perform full text search. The package supports the export from document collections to term-document matrices. tm is freely available under the GNU General Public License (GPL).

tm - Text Mining Package
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Ease of use
Features & Functionality
Advanced Features
Integration
Performance
Customer Support
Implementation
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