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Machine Learning and Sentiment Classification in Ruby

Machine Learning and Sentiment Classification in Ruby

Matt D.

May 30, 2011
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  1. require "ankusa" require "ankusa/memory_storage" storage = Ankusa::MemoryStorage.new classifier = Ankusa::NaiveBayesClassifier.new(storage)

    training.each do |tweet| classifier.train tweet.sentiment, tweet.to_s end sentiment = classifier.classify tweet.to_s
  2. 4VQQPSU 7FDUPS .BDIJOFT Non-probabilistic binary linear classifier Only directly applicable

    to two-class problems “Works by constructing a set of hyperplanes in a high or infinite dimensional space”—what?