, Jana
Dlouha [aut], Patricia Martinkova [aut, cre]
, Lubos Stepanek [ctb]| Title: | Predicting multiple-choice item difficulty from text |
|---|---|
| Description: | The package provides a 'ShinyItemAnalysis' module for text analysis of multiple-choice items from Czech Matura exam. |
| Authors: | Jan Netik [aut] , Jana
Dlouha [aut], Patricia Martinkova [aut, cre]
, Lubos Stepanek [ctb] |
| Maintainer: | Patricia Martinkova <[email protected]> |
| License: | GPL (>= 3) |
| Version: | 0.1.9 |
| Built: | 2025-02-20 21:18:09 UTC |
| Source: | https://github.com/siaverse/EduTestTextAnalysis |
This function takes a corpus and extracts tokens from it after removing punctuations, symbols, numbers, and URLs. Additionally, it removes specific patterns from the tokens.
extract_tokens(corp)extract_tokens(corp)
corp |
A corpus from which tokens need to be extracted. |
A list of tokens.
Function to calculate the percentile for a given value and feature
get_ref_vals(data = reference_values, element, feature, new_value)get_ref_vals(data = reference_values, element, feature, new_value)
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Here goes the author(s) information.