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Get Top SADCAT Dictionary Matches

get_top_dictionary_matches.Rd

Inspect the most frequent words in text_col that match each SADCAT dictionary dimension. Useful for quick sanity checks of what the dictionary coding is capturing in your dataset.

Usage

get_top_dictionary_matches(
  data,
  text_col = "tv3",
  top_n = 20L,
  sadcat_dict = NULL,
  dictionary_names = NULL,
  min_count = 1L,
  verbose = TRUE
)

Arguments

data

A data.frame containing text responses.

text_col

Column containing text to inspect (default "tv3").

top_n

Number of top words to return per dimension (default 20).

sadcat_dict

Optional SADCAT dictionary object from prepare_sadcat_dictionaries. If NULL, it is prepared automatically.

dictionary_names

Optional vector of dictionary names to include (e.g., c("Warmth_dic", "Competence_dic")). If NULL, uses base SADCAT dimensions (*_dic) only.

min_count

Minimum token frequency to keep (default 1).

verbose

Print progress? (default TRUE).

Value

A data.frame with columns:

  • Dictionary: SADCAT dimension label (without _dic)

  • word: Matched token

  • n: Token frequency in the dataset

  • prop: Proportion within that dictionary's matched tokens

Returns an empty data frame with these columns if no matches are found.