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Document Similarity Learner

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The Document Similarity Learner develops a model for identifying a new documents most similar matches from an existing corpus of documents. It consumes already processed documents (refer to Document Preprocessing Component) as input and provides as output both the corpus of documents and a model for use with the Document Similarity Predictor Component.

Component details

Input ports
  1. Type: Table
    Preprocessed Documents
    Documents which have already been preprocessed (via Document Preprocessing).
Output ports
  1. Type: Table
    Corpus of Documents
    The reference corpus of documents for future comparison with new documents.
  2. Type: DocumentVectorPortObject
    Document Vector Model
    Model for creating document vectors on new documents in the appropriate, compatible format.

Used extensions & nodes

Created with KNIME Analytics Platform version 4.2.0
  • KNIME Base nodes Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.2.0

  • KNIME Quick Forms Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.2.0

  • KNIME Textprocessing Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.2.0