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Feature selection package for text mining
3 messages · Venkata Satish Basva, C.H., mxkuhn
FSelector Maybe chi-sq is a good starting point. On Wed, Mar 13, 2013 at 2:02 PM, Venkata Satish Basva
<venkat.satish2004 at gmail.com> wrote:
Hi,
I am doing a project on authorship attribution, where my term document
matrix has around 10450 features.
Can you please suggest me a package where I can find the feature selection
function to reduce the dimensions.
Regards,
Venkata Satish Basva
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______________________________________________ R-help at r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
caret has recursive feature and simple feature filters. I've got some genetic algorithm code (using the GA package). CORElearn also has the relief algorithm and a lot of different measures of feature importance. Max
On Mar 13, 2013, at 3:57 AM, "C.H." <chainsawtiney at gmail.com> wrote:
FSelector Maybe chi-sq is a good starting point. On Wed, Mar 13, 2013 at 2:02 PM, Venkata Satish Basva <venkat.satish2004 at gmail.com> wrote:
Hi,
I am doing a project on authorship attribution, where my term document
matrix has around 10450 features.
Can you please suggest me a package where I can find the feature selection
function to reduce the dimensions.
Regards,
Venkata Satish Basva
[[alternative HTML version deleted]]
______________________________________________ R-help at r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
______________________________________________ R-help at r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.