quanteda tokenizers
Internal methods for tokenization providing default and legacy methods for text segmentation.
tokenize_word(x, split_hyphens = FALSE, verbose = quanteda_options("verbose"))
tokenize_word1(x, split_hyphens = FALSE, verbose = quanteda_options("verbose"))
tokenize_character(x, ...)
tokenize_sentence(x, ..., verbose = FALSE)
tokenize_fasterword(x, ...)
tokenize_fastestword(x, ...)x |
(named) character; input texts |
split_hyphens |
logical; if |
verbose |
if |
... |
used to pass arguments among the functions |
a list of characters corresponding to the (most conservative)
tokenization, including whitespace where applicable; except for
tokenize_word1(), which is a special tokenizer for Internet language that
includes URLs, #hashtags, @usernames, and email addresses.
## Not run:
txt <- c(doc1 = "Tweet https://quanteda.io using @quantedainit and #rstats.",
doc2 = "The £1,000,000 question.",
doc4 = "Line 1.\nLine2\n\nLine3.",
doc5 = "?",
doc6 = "Self-aware machines! \U0001f600")
tokenize_word(txt)
tokenize_word(txt, split_hyphens = TRUE)
tokenize_word2(txt, split_hyphens = FALSE)
tokenize_word2(txt, split_hyphens = TRUE)
tokenize_fasterword(txt)
tokenize_fastestword(txt)
tokenize_sentence(txt)
tokenize_character(txt[2])
## End(Not run)Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.