Remove the tokenize_tweets() function, which is no
longer supported.
tokenizers 0.2.3
Bug fixes and performance enhancements.
tokenizers 0.2.1
Add citation information to JOSS paper.
tokenizers 0.2.0
Features
Add the tokenize_ptb() function for Penn Treebank
tokenizations (@jrnold) (#12).
Add a function chunk_text() to split long documents
into pieces (#30).
New functions to count words, characters, and sentences without
tokenization (#36).
New function tokenize_tweets() preserves usernames,
hashtags, and URLS (@kbenoit) (#44).
The stopwords() function has been removed in favor of
using the stopwords package (#46).
The package now complies with the basic recommendations of the
Text Interchange Format. All tokenization functions are
now methods. This enables them to take corpus inputs as either
TIF-compliant named character vectors, named lists, or data frames. All
outputs are still named lists of tokens, but these can be easily coerced
to data frames of tokens using the tif package. (#49)
Add a new vignette “The Text Interchange Formats and the tokenizers
Package” (#49).
Bug fixes and
performance improvements
tokenize_skip_ngrams has been improved to generate
unigrams and bigrams, according to the skip definition (#24).
C++98 has replaced the C++11 code used for n-gram generation,
widening the range of compilers tokenizers supports (@ironholds) (#26).
tokenize_skip_ngrams now supports stopwords (#31).
If tokenisers fail to generate tokens for a particular entry, they
return NA consistently (#33).
Keyboard interrupt checks have been added to Rcpp-backed functions
to enable users to terminate them before completion (#37).
tokenize_words() gains arguments to preserve or strip
punctuation and numbers (#48).
tokenize_skip_ngrams() and
tokenize_ngrams() to return properly marked UTF8 strings on
Windows (@patperry)
(#58).
tokenize_tweets() now removes stopwords prior to
stripping punctuation, making its behavior more consistent with
tokenize_words() (#76).
tokenizers 0.1.4
Add the tokenize_character_shingles() tokenizer.
Improvements to documentation.
tokenizers 0.1.3
Add vignette.
Improvements to n-gram tokenizers.
tokenizers 0.1.2
Add stopwords for several languages.
New stopword options to tokenize_words() and
tokenize_word_stems().
tokenizers 0.1.1
Fix failing test in non-UTF-8 locales.
tokenizers 0.1.0
Initial release with tokenizers for characters, words, word stems,
sentences paragraphs, n-grams, skip n-grams, lines, and regular
expressions.