Replaces tokens in the tidy text dataset with a string scalar
only if they are matched to an expression.
Usage
mute_tokens(tbl, condition, .as = NA_character_)
Arguments
- tbl
A tidy text dataset.
- condition
<data-masked>
A logical expression.
- .as
String with which tokens are replaced
when they are matched to condition.
The default value is NA_character.
Examples
df <- prettify(head(hiroba), col_select = "POS1")
mute_tokens(df, POS1 %in% c("\u52a9\u8a5e", "\u52a9\u52d5\u8a5e"))
#> doc_id sentence_id token_id token POS1
#> 1 1 1 1 ポラーノ 名詞
#> 2 1 1 2 <NA> 助詞
#> 3 1 1 3 広場 名詞
#> 4 2 2 1 宮沢 名詞
#> 5 2 2 2 賢治 名詞
#> 6 3 3 1 前 接頭詞
