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Topic Modeling on Biomedical Literature

Topic modeling PubMed LDA T-SNE
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This workflow shows a topic modeling approach using documents related to user-selected diseases of interest. It starts, after selecting disease names, with the extraction of text documents from the database PubMed and performs topic modeling using the Latent Dirichlet Allocation (LDA) method. Additionally, two interactive views will created using components. Data sources used in this workflow:

Used extensions & nodes

Created with KNIME Analytics Platform version 4.6.3
  • KNIME Base nodes Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.6.2

    knime
  • KNIME Excel Support Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.6.2

    knime
  • KNIME JavaScript Views Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.6.2

    knime
  • KNIME Quick Forms Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.6.0

    knime
  • KNIME Statistics Nodes (Labs) Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.6.0

    knime
  • KNIME Textprocessing Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.6.2

    knime
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