gibasa (version 1.1.2)

prettify: Prettify tokenized output

Description

Turns a single character column into features while separating with delimiter.

Usage

prettify(
  tbl,
  col = "feature",
  into = get_dict_features("ipa"),
  col_select = seq_along(into),
  delim = ","
)

Value

A data.frame.

Arguments

tbl

A data.frame that has feature column to be prettified.

col

<data-masked> Column containing features to be prettified.

into

Character vector that is used as column names of features.

col_select

Character or integer vector that will be kept in prettified features.

delim

Character scalar used to separate fields within a feature.

Examples

prettify(
  data.frame(x = c("x,y", "y,z", "z,x")),
  col = "x",
  into = c("a", "b"),
  col_select = "b"
)

if (FALSE) {
df <- tokenize(
  data.frame(
    doc_id = seq_along(5:8),
    text = ginga[5:8]
  )
)
prettify(df, col_select = 1:3)
prettify(df, col_select = c(1, 3, 6))
prettify(df, col_select = c("POS1", "Original"))
}