NaiveBayes
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Naive Bayes text classification
What is Naive bayes¶ ↑
See also.
Tutorial¶ ↑
The Bernoulli model.
require 'naivebayes' classifier = NaiveBayes::Classifier.new(:model => "berounoulli") classifier.train("positive", {"aaa" => 0, "bbb" => 1}) classifier.train("negative", {"ccc" => 2, "ddd" => 3}) result = classifier.classify({"aaa" => 1, "bbb" => 1}) p result # => {"positive" => 0.8767123287671234,"negative" => 0.12328767123287669}
Relation to multinomial unigram language model.
require 'naivebayes' classifier = NaiveBayes::Classifier.new(:model => "multinomial") classifier.train("positive", {"aaa" => 0, "bbb" => 1}) classifier.train("negative", {"ccc" => 2, "ddd" => 3}) result = classifier.classify({"aaa" => 1, "bbb" => 1}) p result # => {"positive" => 0.9411764705882353,"negative" => 0.05882352941176469}
Complement Naive Bayes.
require 'naivebayes' classifier = NaiveBayes::Classifier.new(:model => "complement", :smoothing_parameter => 1) classifier.train("positive", {"aaa" => 3, "bbb" => 1, "ccc" => 2}) classifier.train("negative", {"aaa" => 1, "bbb" => 4, "ccc" => 2}) classifier.train("neutral", {"aaa" => 2, "bbb" => 3, "ccc" => 5}) result = classifier.classify({"aaa" => 4, "bbb" => 3, "ccc" => 3}) p result #=> {"neutral"=>9.985931139006835, "negative"=>10.112101263742268, "positive"=>10.836883752313222}
ChangeLog¶ ↑
See doc/ChangeLog.
Developers¶ ↑
See doc/AUTHORS.
Author¶ ↑
774
Copyright and license¶ ↑
See the file doc/LICENSE.