Lexical Diversity Analysis

Calculates lexical diversity metrics to measure vocabulary richness. MTLD and MATTR are most stable and text-length independent.

Usage

lexical_diversity_analysis(dfm_object, measures = "all", texts = NULL)

Arguments

dfm_object

A document-feature matrix or tokens object from quanteda

measures

Character vector of measures to calculate. Options: "all", "MTLD" (recommended), "MATTR" (recommended), "MSTTR", "TTR", "CTTR", "Maas", "K", "D"

texts

Optional character vector of original texts for calculating average sentence length

Value

A list with lexical_diversity (data frame) and summary_stats

Examples

if (FALSE) { # \dontrun{
data(SpecialEduTech)
texts <- SpecialEduTech$abstract[1:10]
corp <- quanteda::corpus(texts)
toks <- quanteda::tokens(corp)
dfm_obj <- quanteda::dfm(toks)
lex_div <- lexical_diversity_analysis(dfm_obj, texts = texts)
print(lex_div)
} # }