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  • 02_Analyzing_Twitter_Data
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Twitter Data Analysis

Twitter NLP text processing Natural Language Processing graph analysis +2

Last edited: 

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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

Used extensions & nodes

Created with KNIME Analytics Platform version 3.7.1
  • KNIME Connectors for Common Databases Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 3.7.0

  • KNIME Core Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 3.7.1

  • KNIME Interactive R Statistics Integration Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 3.7.1

  • KNIME Math Expression (JEP) Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 3.7.0

  • KNIME Network Mining Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 3.7.0

  • KNIME Reporting Runtime Unknown extension

    This is an unpublished or unknown extension.

    KNIME AG, Zurich, Switzerland

    Version 3.7.0

  • KNIME Textprocessing Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 3.7.1

  • KNIME Twitter & Google Connectors Unknown extension

    This is an unpublished or unknown extension.

    KNIME AG, Zurich, Switzerland

    Version 3.7.1

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License (CC-BY-4.0)
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