limpiar_shorthands: Clean shorthands and abbreviations

In jpcompartir/LimpiaR: LimpiaR

Clean shorthands and abbreviations

Description

Replaces common Spanish shorthands and abbreviations with their longer form equivalents. Choose whether to link the replacements with snake case or not, with spaces_as_underscores. Useful primarily for normalising text ahead of sentiment classification.

Usage

limpiar_shorthands(
  df,
  text_var = mention_content,
  spaces_as_underscores = FALSE
)

Arguments

df	Name of Data Frame or Tibble object
text_var	Name of text variable/character vector
spaces_as_underscores	Whether multi-word corrections e.g. 'te quiero mucho' should have spaces or underscores. Default = FALSE

Value

The text variable with shorthands replaced

Examples

limpiar_examples %>% dplyr::select(mention_content)

limpiar_examples %>% limpiar_shorthands() %>% dplyr::select(mention_content)

jpcompartir/LimpiaR documentation built on Dec. 9, 2024, 9:43 p.m.