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 |
| 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 |