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Text mining techniques in life sciences literature

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Nov 14, 2019 1:01 PM
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The workflow allows for searching for life sciences information contained in indexed literature in European PMC. Different nodes are used to obtain the titles and abstracts of the publications, their authors, and the journals that published the literature, offering analyses as tables or plots. Automatic clustering of topics in abstracts is used to organize data. Additionally, an example is given to cross information with external data.
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Used extensions & nodes

Created with KNIME Analytics Platform version 4.7.2
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    KNIME Base nodesTrusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.7.2

    knime
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    KNIME Indexing and SearchingTrusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.7.0

    knime
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    KNIME JavaScript ViewsTrusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.7.0

    knime
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    KNIME JavasnippetTrusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.7.0

    knime
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    KNIME TextprocessingTrusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.7.0

    knime
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    KNIME XML-ProcessingTrusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.7.0

    knime
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    Vernalis KNIME NodesTrusted extension

    Vernalis Research Ltd, Cambridge, UK

    Version 1.36.2

    vernalis

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