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