Text Mining using 'dplyr', 'ggplot2', and Other Tidy Tools

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Documentation for package ‘tidytext’ version 0.4.1.9000

• DESCRIPTION file.
• Package NEWS.

Help Pages

augment.CTM	Tidiers for LDA and CTM objects from the topicmodels package
augment.jobjRef	Tidiers for Latent Dirichlet Allocation models from the mallet package
augment.LDA	Tidiers for LDA and CTM objects from the topicmodels package
augment.STM	Tidiers for Structural Topic Models from the stm package
bind_tf_idf	Bind the term frequency and inverse document frequency of a tidy text dataset to the dataset
cast_dfm	Casting a data frame to a DocumentTermMatrix, TermDocumentMatrix, or dfm
cast_dtm	Casting a data frame to a DocumentTermMatrix, TermDocumentMatrix, or dfm
cast_sparse	Create a sparse matrix from row names, column names, and values in a table.
cast_tdm	Casting a data frame to a DocumentTermMatrix, TermDocumentMatrix, or dfm
corpus_tidiers	Tidiers for a corpus object from the quanteda package
dictionary_tidiers	Tidy dictionary objects from the quanteda package
get_sentiments	Get a tidy data frame of a single sentiment lexicon
get_stopwords	Get a tidy data frame of a single stopword lexicon
glance.corpus	Tidiers for a corpus object from the quanteda package
glance.CTM	Tidiers for LDA and CTM objects from the topicmodels package
glance.estimateEffect	Tidiers for Structural Topic Models from the stm package
glance.LDA	Tidiers for LDA and CTM objects from the topicmodels package
glance.STM	Tidiers for Structural Topic Models from the stm package
lda_tidiers	Tidiers for LDA and CTM objects from the topicmodels package
mallet_tidiers	Tidiers for Latent Dirichlet Allocation models from the mallet package
nma_words	English negators, modals, and adverbs
parts_of_speech	Parts of speech for English words from the Moby Project
reorder_func	Reorder an x or y axis within facets
reorder_within	Reorder an x or y axis within facets
scale_x_reordered	Reorder an x or y axis within facets
scale_y_reordered	Reorder an x or y axis within facets
sentiments	Sentiment lexicon from Bing Liu and collaborators
stm_tidiers	Tidiers for Structural Topic Models from the stm package
stop_words	Various lexicons for English stop words
tdm_tidiers	Tidy DocumentTermMatrix, TermDocumentMatrix, and related objects from the tm package
tidy.Corpus	Tidy a Corpus object from the tm package
tidy.corpus	Tidiers for a corpus object from the quanteda package
tidy.CTM	Tidiers for LDA and CTM objects from the topicmodels package
tidy.dfm	Tidy DocumentTermMatrix, TermDocumentMatrix, and related objects from the tm package
tidy.dfmSparse	Tidy DocumentTermMatrix, TermDocumentMatrix, and related objects from the tm package
tidy.dictionary2	Tidy dictionary objects from the quanteda package
tidy.DocumentTermMatrix	Tidy DocumentTermMatrix, TermDocumentMatrix, and related objects from the tm package
tidy.estimateEffect	Tidiers for Structural Topic Models from the stm package
tidy.jobjRef	Tidiers for Latent Dirichlet Allocation models from the mallet package
tidy.LDA	Tidiers for LDA and CTM objects from the topicmodels package
tidy.simple_triplet_matrix	Tidy DocumentTermMatrix, TermDocumentMatrix, and related objects from the tm package
tidy.STM	Tidiers for Structural Topic Models from the stm package
tidy.TermDocumentMatrix	Tidy DocumentTermMatrix, TermDocumentMatrix, and related objects from the tm package
tidy_triplet	Utility function to tidy a simple triplet matrix
unnest_characters	Wrapper around unnest_tokens for characters and character shingles
unnest_character_shingles	Wrapper around unnest_tokens for characters and character shingles
unnest_lines	Wrapper around unnest_tokens for sentences, lines, and paragraphs
unnest_ngrams	Wrapper around unnest_tokens for n-grams
unnest_paragraphs	Wrapper around unnest_tokens for sentences, lines, and paragraphs
unnest_ptb	Wrapper around unnest_tokens for Penn Treebank Tokenizer
unnest_regex	Wrapper around unnest_tokens for regular expressions
unnest_sentences	Wrapper around unnest_tokens for sentences, lines, and paragraphs
unnest_skip_ngrams	Wrapper around unnest_tokens for n-grams
unnest_tokens	Split a column into tokens