wehub-resource-sync
82 lines
1.6 KiB
ReStructuredText
82 lines
1.6 KiB
ReStructuredText
Text examples
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These examples explain machine learning models applied to text data. They are all generated from Jupyter
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notebooks `available on GitHub <https://github.com/shap/shap/tree/master/notebooks/text_examples>`_.
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Sentiment analysis
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==================
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Examples of how to explain predictions from sentiment analysis models.
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.. toctree::
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:glob:
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:maxdepth: 1
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example_notebooks/text_examples/sentiment_analysis/*
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Translation
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===========
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Examples of how to explain predictions from translation models.
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.. toctree::
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:glob:
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:maxdepth: 1
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example_notebooks/text_examples/translation/*
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Text generation
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===============
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Examples of how to explain predictions from text generation models.
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.. toctree::
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:glob:
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:maxdepth: 1
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example_notebooks/text_examples/text_generation/*
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Summarization
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=============
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Examples of how to explain predictions from summarization models.
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.. toctree::
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:glob:
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:maxdepth: 1
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example_notebooks/text_examples/summarization/*
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Question Answering
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==================
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Examples of how to explain predictions from question answering models.
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.. toctree::
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:glob:
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:maxdepth: 1
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example_notebooks/text_examples/question_answering/*
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Language modelling
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==================
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Examples of how to explain predictions from language models.
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.. toctree::
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:glob:
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:maxdepth: 1
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example_notebooks/text_examples/language_modelling/*
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Text entailment
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===============
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Examples of how to explain predictions from text entailment models.
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.. toctree::
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:glob:
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:maxdepth: 1
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example_notebooks/text_examples/text_entailment/*
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