dfm_replace: Replace features in dfm

In koheiw/quanteda.core: Quantitative Analysis of Textual Data

Description

Substitute features based on vectorized one-to-one matching for lemmatization or user-defined stemming.

Usage

dfm_replace(
  x,
  pattern,
  replacement,
  case_insensitive = TRUE,
  verbose = quanteda_options("verbose")
)

Arguments

x	dfm whose features will be replaced
pattern	a character vector. See pattern for more details.
replacement	if pattern is a character vector, then replacement must be character vector of equal length, for a 1:1 match.
case_insensitive	logical; if TRUE, ignore case when matching a pattern or dictionary values
verbose	print status messages if TRUE

Examples

dfmat1 <- dfm(data_corpus_inaugural)

# lemmatization
taxwords <- c("tax", "taxing", "taxed", "taxed", "taxation")
lemma <- rep("TAX", length(taxwords))
featnames(dfm_select(dfmat1, pattern = taxwords))
dfmat2 <- dfm_replace(dfmat1, pattern = taxwords, replacement = lemma)
featnames(dfm_select(dfmat2, pattern = taxwords))

# stemming
feat <- featnames(dfmat1)
featstem <- char_wordstem(feat, "porter")
dfmat3 <- dfm_replace(dfmat1, pattern = feat, replacement = featstem, case_insensitive = FALSE)
identical(dfmat3, dfm_wordstem(dfmat1, "porter"))

koheiw/quanteda.core documentation built on Sept. 21, 2020, 3:44 p.m.