Disable highlights annotation for existing kwic-objects

[DSauerbrey]

Any options to disable highlights annotations for existing kwic-objects to avoid that using the count method on already manually annotated kwic-objects will count highlighted terms with the existing tags included (e.g. <'span style="background-color:yellow">Arbeitsaufnahmeverbot</span'>)?

[DSauerbrey]

I could avoid a subsequent problem, occurring when using the features-function i. a. on the resulting count-object to create a dot plot, by transforming the features-object to a data.frame before using the dplyr-function ‘mutate’ (e. g. > mutate(word = recode(word, "<span style="background-color:yellow">Arbeitsaufnahmeverbot" = "Arbeitsaufnahmeverbot")) to manually remove the unwanted annotations. However, this was only a convenient solution because I focused on 20 terms with the highest log-likelihood-rank and because of the fact that the other count-object has also been manipulated by the same annotation problem – else the same word would have been counted the first time with annotations and the second time without annotations.

[DSauerbrey]

The same request to have a counterpart for the enrich-function applies not only for the highlights annotations but also for annotations using structural attributes (e. g. dates). Planning to create a time series for the aforementioned kwic-object, deriving from ‘protocol_date’ as a structural attribute while also having ‘speaker_parlgroup’ as a further attribute, I had to create a separate data.table, integrating only ‘protocol_date’ as a column, instead of directly creating a data.frame by using the meta data of the kwic-object.

Thank you in advance for any hints and further advice!