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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)
• 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
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Features & Functionality
7.6
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Advanced Features
7.6
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Integration
7.6
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Performance
7.6
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Customer Support
7.6
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Implementation
—
Renew & Recommend
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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).
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By clicking Sign In with social media, you agree to let PAT RESEARCH store, use and/or disclose your social profile and email address in accordance with the PAT RESEARCH Privacy Policy and agree to the Terms of Use.