Analyzing Twitter Data

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.

Analyzing Twitter Data

 

Resources

EXAMPLES Server: 50_Applications/19_TwitterAnalysis/02_Analyzing_Twitter_Data50_Applications/19_TwitterAnalysis/02_Analyzing_Twitter_Data*
Download a zip-archive

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* Find more about the Examples Server here.
The link will open the workflow directly in KNIME Analytics Platform (requirements: Windows; KNIME Analytics Platform must be installed with the Installer version 3.2.0 or higher). In other cases, please use the link to a zip-archive or open the provided path manually