mirror of https://github.com/explosion/spaCy.git
16 lines
801 B
Plaintext
16 lines
801 B
Plaintext
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//- 💫 DOCS > USAGE > DEEP LEARNING > SCIKIT-LEARN
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+infobox
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+infobox-logos(["scikitlearn", 70, 34, "http://scikit-learn.org"])
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| #[strong scikit-learn] features a number of useful NLP functions,
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| especially for solving text classification problems using linear models
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| with bag-of-words features. If you know you need exactly that, it might
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| be better to use scikit-learn's built-in pipeline directly. However, if
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| you want to extract more detailed features, using part-of-speech tags,
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| named entity labels, or string transformations, you can use spaCy as a
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| pre-process in your classification system. scikit-learn also provides a
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| lot of experiment management and evaluation utilities that people use
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| alongside spaCy.
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+under-construction
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