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sumup: Utilizing Automated Text Analysis to Support Interpretation of
Narrative Feedback
Combine topic modeling and sentiment analysis to identify individual students' gaps, and highlight their strengths and weaknesses across predefined competency domains and professional activities.
| Version: |
1.0.0 |
| Depends: |
R (≥ 3.5) |
| Imports: |
data.table, dplyr, jsonlite, magrittr, rlang, udpipe, reticulate, stats, stringr, textclean, tibble, tidyr, tidytext, topicmodels, utils |
| Suggests: |
matrixStats, reshape2, sentimentr, slam, stopwords, stringi, textstem, tokenizers |
| Published: |
2025-10-23 |
| DOI: |
10.32614/CRAN.package.sumup (may not be active yet) |
| Author: |
Joyce Moonen - van Loon
 [aut, cre] |
| Maintainer: |
Joyce Moonen - van Loon <j.moonen at maastrichtuniversity.nl> |
| License: |
GPL (≥ 3) |
| NeedsCompilation: |
no |
| CRAN checks: |
sumup results |
Documentation:
Downloads:
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.