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Aug 9, 2022
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Working with text documents

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