Discriminate Short Text Analysis in R - DstaR
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A tool for discriminatory text analysis of short text in data sets. The software aims to provide a set of tools to help researchers understand the core features of a short text data set in order to flag text elements for further investigation. Intended to work with short text such as Twitter or other social media posts.
Access rights
Open Source Software
Research areas
Research software
Data science
Text analysis
Cite this collection
Fleet, Robert; QUT Digital Observatory; (2023): Discriminate Short Text Analysis in R - DstaR. Queensland University of Technology. (Software) https://doi.org/10.25912/RDF_1678252298606
Related information
Shiny app available - Fleet, Robert; QUT Digital Observatory; (2023): Shiny - Discriminate Short Text Analysis in R - Shiny_DstaR. Queensland University of Technology. (Software)
10.25912/RDF_1678252800602
Licence
GNU General Public License (GPL)
http://www.gnu.org/licenses/gpl.html
http://www.gnu.org/licenses/gpl.html
Copyright
© Queensland University of Technology, 2023.
Data file types
R code script files - .R;
R project files - .Rproj
Dates of development
From 2022-11-01 to 2023-03-01
Connections
Has chief investigator
Contacts
Name: Digital Observatory
Other
Date record created:
2023-03-02T09:53:14
Date record modified:
2024-06-21T12:23:13
Record status:
Published - Open Access