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Twitter Data Analysis

TwitterNLPText processingNatural Language ProcessingGraph analysis
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Feb 18, 2015 12:56 PM
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This workflow examines a sample of tweets from the days surrounding the scottisch referendum for independence in 2014 [1]. After reading the data from a local database, basic text processing is used to extract hashtags from the dataset and term frequencies calculated and used to build a tag cloud. Subsequently, hashtag trending is examined over time, with a notable post election surge in the #the45 movement. Additionally, network analysis is performed in order to look at the most influential social graph surrounding this issue.

External resources

  • @KNIME Twitter Nodes
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Used extensions & nodes

Created with KNIME Analytics Platform version 3.7.1
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    KNIME Connectors for Common DatabasesTrusted extension

    KNIME AG, Zurich, Switzerland

    Version 3.7.0

    knime
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    KNIME CoreTrusted extension

    KNIME AG, Zurich, Switzerland

    Version 3.7.1

    knime
  • Go to item
    KNIME Interactive R Statistics IntegrationTrusted extension

    KNIME AG, Zurich, Switzerland

    Version 3.7.1

    knime
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    KNIME Math Expression (JEP)Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 3.7.0

    knime
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    KNIME Network MiningTrusted extension

    KNIME AG, Zurich, Switzerland

    Version 3.7.0

    knime
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    KNIME Reporting RuntimeUnknown extension

    This is an unpublished or unknown extension.

    KNIME AG, Zurich, Switzerland

    Version 3.7.0

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    KNIME TextprocessingTrusted extension

    KNIME AG, Zurich, Switzerland

    Version 3.7.1

    knime
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    KNIME Twitter & Google ConnectorsUnknown extension

    This is an unpublished or unknown extension.

    KNIME AG, Zurich, Switzerland

    Version 3.7.1

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