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  • 33_Emil_the_TeacherBot
  • 01_Initial_Model_Training
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Emil the TeacherBot - Initial Training - Train Document Vector and Random Forest Model

NLP Natural Language Processing

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This workflow is part of a number of other workflows that address a data mining scenario at the intersection of active learning, text mining, stream mining and service-oriented knowledge discovery architectures. In particular, this workflow trains two models. A Document Vector Model depending on the keywords extracted from the training set during the pre-processing step and a Random Forest model that makes the predictions of the document_class. The models created at this stage can be used later on in the active learning cycle (Re-label_Uncertain_Classes workflow).

Used extensions & nodes

Created with KNIME Analytics Platform version 3.6.1
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    KNIME Core Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 3.6.1

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    KNIME Textprocessing Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 3.6.1

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