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WorkflowWorkflow

Network Analytics meets Text Processing

Network mining Text Processing Text Mining Graph Authority Score
+5

Last edited: 

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This workflow combines two pre-processing techniques: network analytics and text processing.The goal of the text processing part 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 analytics part is to compute the social status e.g. leader or follower of a user in the forum community. The visualization part condenses the two result sets into a single scatterplot that visualizes the social status as well as the general mood of the users for the slashdot data set.

External resources

  • Slides KNIME Analytics Platform Text Mining
  • Data Chef ETL Battles. Ingredient Theme: A Social Forum. Sentiment vs. Influence.

Used extensions & nodes

Created with KNIME Analytics Platform version 4.3.0
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    KNIME Base nodes Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.3.0

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    KNIME Interactive R Statistics Integration Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.3.0

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    KNIME JavaScript Views Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.3.0

  • Go to item
    KNIME Javasnippet Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.3.0

  • Go to item
    KNIME Math Expression (JEP) Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.3.0

  • Go to item
    KNIME Network Mining Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.3.0

  • Go to item
    KNIME Textprocessing Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.3.0

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