Utilizing Automated Text Analysis to Support Interpretation of
Narrative Feedback
![[R logo]](../../../doc/html/Rlogo.svg)
![[Up]](../../../doc/html/left.jpg)
![[Top]](../../../doc/html/up.jpg)
Documentation for package ‘sumup’ version 1.0.0
Help Pages
| append_stopwords | Append Stopwords |
| check_all_settings | Check all setting |
| check_setting | Check setting |
| clean_text | Clean Text |
| correct_text | Correct Text |
| create_dataset_narratives | Create Narratives Dataset |
| create_output | Create Output for Sum Up |
| default_stopwords | Load Stopwords |
| example_data | Example example_data |
| get_corrections | Load Corrections |
| get_polarity | Get Polarity from Grasp |
| lemmatize | Lemmatize Sentences Using a UDPipe Model |
| obtain_word_counts | Obtain Word Counts |
| replace_abbr | Replace Abbreviations |
| run_sumup | Run Sum Up |
| sentiment_analysis_sentimentr | Sentiment Analysis using sentimentr |
| set_default_settings | Settings functionality for package 'sumup' |
| text_clean | Text Cleaning and Processing Functions |
| tidy_text | Tidy and Split Narrative Text |
| topic_classification | Topic Classification for Narrative Data |
| topic_modeling | Topic Modeling with Latent Dirichlet Allocation (LDA) |
| update_educational_framework_settings | Update settings related to the educational framework |
| update_setting | Update setting |