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  • 02_NetworkAnalytics_meets_TextProcessing
WorkflowWorkflow

Network Analytics meets Text Processing

Network mining Text Processing Text Mining Graph Authority Score +4

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The goal of the text processing part of the workflow is to identify the general mood of a user e.g. positive, negative or neutral based on the sentiment of its posts and comments. The goal of the network analysis part is to compute the social status e.g. leader or follower of a user in the forum community. The visualization part condenses the results from both areas into a single scatterplot that visualizes the social status as well as the general mood of the users in the slashdot data set.

External resources

  • Data Chef ETL Battles. Ingredient Theme: A Social Forum. Sentiment vs. Influence.

Used extensions & nodes

Created with KNIME Analytics Platform version 4.1.0
  • KNIME Core Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.1.0

  • KNIME Interactive R Statistics Integration Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.1.0

  • KNIME JavaScript Views Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.1.0

  • KNIME Math Expression (JEP) Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.1.0

  • KNIME Network Mining Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.1.0

  • KNIME Textprocessing Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.1.0

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By downloading the workflow, you agree to our terms and conditions.

License (CC-BY-4.0)
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