Mc 2
This entry published by the Free Software Foundation.
mc
http://www.cs.utexas.edu/users/jfan/dm/
MC is a C++ program that creates vector-space models from text documents that can be used for text mining applications. MC provides an efficient multi-threaded implementation that can process very large document collections. The MC program: 1. Recursively descends directories, finding text files 2. Processes files selectively through full regular expression matching of file names. 3. Builds a sparse matrix of word/token counts. The particular sprse marix format used is given here. 4. Processes any user specified text formats(email address or URLs) as a whole token through regular expression matching or FLEX definition. 5. Prunes vocabulary by word length and frequency 6. Excludes user specified stop words 7. Sets word vector weights according any of the txx, txn, tfn, tfx, lxx, lxn, lfn, lfx scaling schemes. 8. Writes all data structures to disk in the Compressed Column Storage format. The application does not have English parsing or part-of-speech tagging facilities or complete documentation
Documentation
User README available in HTML format from http://www.cs.utexas.edu/users/jfan/dm/README.html
Licensing
| License | Verified by | Verified on | Notes |
|---|---|---|---|
| GPLv2 | Janet Casey | 2452092.52 July 2001 | |
| GPLv2 | Janet Casey | 2452092.52 July 2001 |
Leaders and contributors
| Contact(s) | Role |
|---|---|
|
| Maintainer |
|
| Maintainer |
Resources and communication
| Audience | Resource type | URI |
|---|---|---|
| Bug Tracking,Developer,Support | mailto:jfan@cs.utexas.edu | |
| Bug Tracking,Developer,Support | mailto:jfan@cs.utexas.edu |
Software prerequisites
| Kind | Description |
|---|---|
| Required to build | pthread library |
| Required to build | STL |
| Required to build | FLEX |
| Required to build | STL |
| Required to build | pthread library |
| Required to build | FLEX |
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This entry (in part or in whole) was last reviewed on 30 April 2008.
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This page was last modified on 12 April 2011, at 12:21.

