Examples concerning the :mod:`sklearn.feature_extraction.text` module.
.. only:: html
.. image:: /auto_examples/text/images/thumb/sphx_glr_plot_document_classification_20newsgroups_thumb.png
:alt: Classification of text documents using sparse features
:ref:`sphx_glr_auto_examples_text_plot_document_classification_20newsgroups.py`
Classification of text documents using sparse features
.. only:: html
.. image:: /auto_examples/text/images/thumb/sphx_glr_plot_document_clustering_thumb.png
:alt: Clustering text documents using k-means
:ref:`sphx_glr_auto_examples_text_plot_document_clustering.py`
Clustering text documents using k-means
.. only:: html
.. image:: /auto_examples/text/images/thumb/sphx_glr_plot_hashing_vs_dict_vectorizer_thumb.png
:alt: FeatureHasher and DictVectorizer Comparison
:ref:`sphx_glr_auto_examples_text_plot_hashing_vs_dict_vectorizer.py`
FeatureHasher and DictVectorizer Comparison
.. toctree::
:hidden:
/auto_examples/text/plot_document_classification_20newsgroups
/auto_examples/text/plot_document_clustering
/auto_examples/text/plot_hashing_vs_dict_vectorizer