Abstract
This chapter presents a step-by-step visualization analysis of over 4,000 health news tweets using SAS Visual Text Analytics (VTA). SAS VTA is a commercial software program that uses a pipeline, or process-based, approach to the analysis of text. This chapter demonstrates the creation of visualizations including tree maps, line charts, pie charts, and word clouds using the software.
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Notes
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Data available on https://archive.ics.uci.edu/ml/datasets/Health+News+in+Twitter#
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Note that the data were imported in a tab-delimited,.txt format and using UTF-8 encoding. This file is called LATIMESHEALTH4, as shown in the screenshots.
Further Reading
This chapter illustrates a basic analysis implemented on SAS VTA. For more advanced options, please refer to the SAS Visual Text Analytics User’s Guide (version 8.2 for this example) available at: http://documentation.sas.com/?cdcId=ctxtcdc&cdcVersion=8.2&docsetId=ctxtug&docsetTarget=titlepage.htm&locale=en
Acknowledgment
The authors thank Jorge Fresneda Fernandez, Assistant Professor of Marketing at the Martin Tuchman School of Management, New Jersey Institute of Technology for contributing this chapter to the book.
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Anandarajan, M., Hill, C., Nolan, T. (2019). SAS Visual Text Analytics. In: Practical Text Analytics. Advances in Analytics and Data Science, vol 2. Springer, Cham. https://doi.org/10.1007/978-3-319-95663-3_16
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DOI: https://doi.org/10.1007/978-3-319-95663-3_16
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