mirror of
https://github.com/explosion/spaCy.git
synced 2024-11-11 12:18:04 +03:00
16 lines
801 B
Plaintext
16 lines
801 B
Plaintext
|
//- 💫 DOCS > USAGE > DEEP LEARNING > SCIKIT-LEARN
|
||
|
|
|
||
|
|
+infobox
|
||
|
|
+infobox-logos(["scikitlearn", 70, 34, "http://scikit-learn.org"])
|
||
|
|
| #[strong scikit-learn] features a number of useful NLP functions,
|
||
|
|
| especially for solving text classification problems using linear models
|
||
|
|
| with bag-of-words features. If you know you need exactly that, it might
|
||
|
|
| be better to use scikit-learn's built-in pipeline directly. However, if
|
||
|
|
| you want to extract more detailed features, using part-of-speech tags,
|
||
|
|
| named entity labels, or string transformations, you can use spaCy as a
|
||
|
|
| pre-process in your classification system. scikit-learn also provides a
|
||
|
|
| lot of experiment management and evaluation utilities that people use
|
||
|
|
| alongside spaCy.
|
||
|
|
|
||
|
|
+under-construction
|