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Please see [http://ethen8181.github.io/machine-learning/search/bm25_intro.html](http://ethen8181.github.io/machine-learning/search/bm25_intro.html) for more details about how these parameters affect the matrix that is generated.
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## Bag-of-Words Transformer
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The `MLJText` package also offers a way to represent documents using the simpler bag-of-words representation. This returns a document-term matrix (as you would get in `TextAnalysis`) that consists of the count for every word in the corpus for each document in the corpus.
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The `MLJText` package also offers a way to represent documents using the simpler bag-of-words representation. This returns a document-term matrix (as you would get in `TextAnalysis`) that consists of the count for every word in the corpus for each document in the corpus.
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