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: |
1.0.1 |
| 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: |
2026-01-26 |
| DOI: |
10.32614/CRAN.package.sumup |
| Author: |
Joyce Moonen - van Loon
 [aut, cre] |
| Maintainer: |
Joyce Moonen - van Loon <j.moonen at maastrichtuniversity.nl> |
| License: |
GPL-3 | file LICENSE |
| NeedsCompilation: |
no |
| Materials: |
README |
| CRAN checks: |
sumup results |