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Unsupervised topic modeling in Ruby using LDA
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require 'lda-ruby' | |
corpus = Lda::Corpus.new | |
corpus.add_document(Lda::TextDocument.new(corpus, "a lion is a wild feline animal", [])) | |
corpus.add_document(Lda::TextDocument.new(corpus, "a dog is a friendly animal", [])) | |
corpus.add_document(Lda::TextDocument.new(corpus, "a cat is a feline animal", [])) | |
lda = Lda::Lda.new(corpus) | |
lda.verbose = false | |
lda.num_topics = (2) | |
lda.em('random') | |
topics = lda.top_words(3) | |
# Results | |
# => {0=>["animal", "friendly", "dog"], 1=>["animal", "feline", "cat"]} |
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