Difference between revisions of "Mc 2"
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|Short description=Converts text documents into a vector space model | |Short description=Converts text documents into a vector space model | ||
|Full description=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 | |Full description=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 | ||
| + | |Homepage URL=http://web.archive.org/web/20090921192233/http://www.cs.utexas.edu/users/jfan/dm/ | ||
|User level=none | |User level=none | ||
| − | | | + | |Keywords=data-mining,text-mining,vector-space-model,bag-of-words |
| − | | | + | |Version identifier=2.29 |
| − | | | + | |Version date=2004/11/09 |
| − | | | + | |Version status=stable |
| − | | | + | |Version download=web.archive.org/web/20090723195805/http://www.cs.utexas.edu/users/jfan/dm/src/mc.src.2.29.tar.gz |
| − | + | |Last review by=BABA200 | |
| − | + | |Last review date=2017/02/20 | |
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| − | |Last review by= | ||
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|Submitted by=Database conversion | |Submitted by=Database conversion | ||
|Submitted date=2011-04-01 | |Submitted date=2011-04-01 | ||
| − | | | + | |Status= |
| − | | | + | |Is GNU=No |
| − | | | + | |License verified date=2001-07-02 |
| − | | | + | }} |
| + | {{Project license | ||
| + | |License=GPLv2 | ||
| + | |License verified by=Janet Casey | ||
|License verified date=2001-07-02 | |License verified date=2001-07-02 | ||
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}} | }} | ||
{{Person | {{Person | ||
| + | |Real name=James Fan | ||
|Role=Maintainer | |Role=Maintainer | ||
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|Email=jfan@cs.utexas.edu | |Email=jfan@cs.utexas.edu | ||
|Resource URL= | |Resource URL= | ||
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}} | }} | ||
{{Software category | {{Software category | ||
|Database=administration | |Database=administration | ||
|Interface=command-line | |Interface=command-line | ||
| + | |Programming-language=C++ | ||
|Works-with=database | |Works-with=database | ||
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{{Software prerequisite | {{Software prerequisite | ||
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|Prerequisite description=FLEX | |Prerequisite description=FLEX | ||
}} | }} | ||
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Revision as of 15:14, 20 February 2017
MC
https://web.archive.org/web/20090921192233/http://www.cs.utexas.edu/users/jfan/dm/
Converts text documents into a vector space model.
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
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