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Fuzzy Keyword Detection in Customer Reviews

Text miningKeyword detectionFuzzy matchingLevenshteinApproximate string matcher
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ahmad_vh profile image
Version1.0.0Latest, created on 
Sep 12, 2025 1:12 PM
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This workflow demonstrates how to detect keywords in customer review texts using fuzzy string matching. A list of keywords is compared against input documents with the Levenshtein algorithm, allowing typo-tolerant detection based on a configurable maximum edit distance. The output table shows each text together with the matched keywords and similarity scores.

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Used extensions & nodes

Created with KNIME Analytics Platform version 5.5.1
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    exorbyte matchmaker toolboxTrusted extension

    exorbyte GmbH

    Version 1.1.0

    exorbyte-Team
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    KNIME Base nodesTrusted extension

    KNIME AG, Zurich, Switzerland

    Version 5.5.1

    knime
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    KNIME Quick FormsTrusted extension

    KNIME AG, Zurich, Switzerland

    Version 5.5.1

    knime
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    KNIME TextprocessingTrusted extension

    KNIME AG, Zurich, Switzerland

    Version 5.5.0

    knime

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