Stanford Classifer

A machine learning classifier, directed at text categorization
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Stanford Classifer Ranking & Summary

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  • Rating:
  • License:
  • GPL
  • Publisher Name:
  • Stanford NLP Group
  • Publisher web site:
  • http://nlp.stanford.edu/
  • Operating Systems:
  • Mac OS X
  • File Size:
  • 4.1 MB

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Stanford Classifer Description

Stanford Classifer is a free and open-source machine learning tool that will take data items and place them into one of k classes. A probabilistic classifier, like this one, can also give a probability distribution over the class assignment for a data item. Stanford Classifer is a Java implementation of a maximum entropy classifier. Maximum entropy models are otherwise known as conditional loglinear models, and are essentially equivalent to multiclass logistic regression models (though parameterized slightly differently, in a way that is advantageous with sparse explanatory feature vectors). Detailed instructions on how to install and use the Stanford Classifer utility on your Mac are available HERE.Stanford Classifer is a cross-platform utility capable of running on any operating system that comes with Java support (e.g. Mac OS X, Windows, Linux).


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