Extra 'Recipes' for Text Processing

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Documentation for package ‘textrecipes’ version 1.1.0

• DESCRIPTION file.
• User guides, package vignettes and other documentation.
• Package NEWS.

Help Pages

all_tokenized	Role Selection
all_tokenized_predictors	Role Selection
count_functions	List of all feature counting functions
emoji_samples	Sample sentences with emojis
show_tokens	Show token output of recipe
step_clean_levels	Clean Categorical Levels
step_clean_names	Clean Variable Names
step_dummy_hash	Indicator Variables via Feature Hashing
step_lda	Calculate LDA Dimension Estimates of Tokens
step_lemma	Lemmatization of Token Variables
step_ngram	Generate n-grams From Token Variables
step_pos_filter	Part of Speech Filtering of Token Variables
step_sequence_onehot	Positional One-Hot encoding of Tokens
step_stem	Stemming of Token Variables
step_stopwords	Filtering of Stop Words for Tokens Variables
step_textfeature	Calculate Set of Text Features
step_texthash	Feature Hashing of Tokens
step_text_normalization	Normalization of Character Variables
step_tf	Term frequency of Tokens
step_tfidf	Term Frequency-Inverse Document Frequency of Tokens
step_tokenfilter	Filter Tokens Based on Term Frequency
step_tokenize	Tokenization of Character Variables
step_tokenize_bpe	BPE Tokenization of Character Variables
step_tokenize_sentencepiece	Sentencepiece Tokenization of Character Variables
step_tokenize_wordpiece	Wordpiece Tokenization of Character Variables
step_tokenmerge	Combine Multiple Token Variables Into One
step_untokenize	Untokenization of Token Variables
step_word_embeddings	Pretrained Word Embeddings of Tokens
tidy.step_clean_levels	Clean Categorical Levels
tidy.step_clean_names	Clean Variable Names
tidy.step_dummy_hash	Indicator Variables via Feature Hashing
tidy.step_lda	Calculate LDA Dimension Estimates of Tokens
tidy.step_lemma	Lemmatization of Token Variables
tidy.step_ngram	Generate n-grams From Token Variables
tidy.step_pos_filter	Part of Speech Filtering of Token Variables
tidy.step_sequence_onehot	Positional One-Hot encoding of Tokens
tidy.step_stem	Stemming of Token Variables
tidy.step_stopwords	Filtering of Stop Words for Tokens Variables
tidy.step_textfeature	Calculate Set of Text Features
tidy.step_texthash	Feature Hashing of Tokens
tidy.step_text_normalization	Normalization of Character Variables
tidy.step_tf	Term frequency of Tokens
tidy.step_tfidf	Term Frequency-Inverse Document Frequency of Tokens
tidy.step_tokenfilter	Filter Tokens Based on Term Frequency
tidy.step_tokenize	Tokenization of Character Variables
tidy.step_tokenize_bpe	BPE Tokenization of Character Variables
tidy.step_tokenize_sentencepiece	Sentencepiece Tokenization of Character Variables
tidy.step_tokenize_wordpiece	Wordpiece Tokenization of Character Variables
tidy.step_tokenmerge	Combine Multiple Token Variables Into One
tidy.step_untokenize	Untokenization of Token Variables
tidy.step_word_embeddings	Pretrained Word Embeddings of Tokens
tokenlist	Create Token Object