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Sarcasm Detected with Machine Learning

RedfieldBERTSarcasmEmbeddingsDimensionality reduction
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Oct 18, 2021 7:25 AM
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In this workflow we are using BERT embeddings to detect sarcasm in texts. Other cases for embeddings are also considered: using PCA for dimensionality reduction, embeddings visualization, using more simple algorithims to train predictive models based on embeddings.

External resources

  • Blog post with a workflow explanation
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Used extensions & nodes

Created with KNIME Analytics Platform version 4.6.1
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    KNIME Base nodesTrusted extension

    KNIME AG, Zurich, Switzerland

    Versions 4.4.2, 4.6.1

    knime
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    KNIME Ensemble Learning WrappersTrusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.6.0

    knime
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    KNIME ExpressionsTrusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.6.0

    knime
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    KNIME JavaScript ViewsTrusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.6.1

    knime
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    KNIME JavaScript Views (Labs)Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.6.0

    knime
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    KNIME JavasnippetTrusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.6.0

    knime
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    KNIME JSON-ProcessingTrusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.6.1

    knime
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    KNIME PlotlyTrusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.6.0

    knime
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    KNIME Quick FormsTrusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.6.0

    knime
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    Redfield BERT Nodes

    Redfield AB

    Version 1.0.0

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    redfield

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