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Topic Modeling - Masterthesis

NLPNatural language processingTopic modelingLDANews
aniloezer profile image
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Oct 20, 2014 2:02 PM
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This workflow demonstrates the LDA part of the topic modeling process for Anil Özer's Master's Thesis. It employs the ABC News Headlines Dataset and presents a comprehensive approach including preprocessing, LDA application, and visualization. To ensure the randomness of topics and keywords presented in the human evaluation of the topics, the workflow further incorporates randomization nodes that mix and shuffle their order.
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Used extensions & nodes

Created with KNIME Analytics Platform version 4.7.0
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    KNIME Base nodesTrusted 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 JFreeChartTrusted 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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    Vernalis KNIME NodesTrusted extension

    Vernalis Research Ltd, Cambridge, UK

    Version 1.36.3

    vernalis

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