Coercion and checking functions for fcm objects
Coercion and checking functions for dictionary objects
View methods for quanteda
Convert the case of character objects
coerce a compressed corpus to a standard corpus
Coerce a dfm to a matrix or data.frame
Convert an fcm to an igraph object
Check if font is available on the system
Coercion, checking, and combining functions for tokens objects
Compute the Moving-Average Type-Token Ratio (MATTR)
Convert quanteda dictionary objects to the YAML format
Randomly sample documents from a corpus
Compute lexical diversity from a dfm or tokens
Convert a dfm to a data.frame
Replace features in dfm
A paragraph of text for testing various text-based functions
Convenience wrappers for dfm convert
Match the feature set of a dfm to given feature names
Immigration-related sections of 2010 UK party manifestos
Segment texts on a pattern match
Coercion and checking functions for dfm objects
Compute the Mean Segmental Type-Token Ratio (MSTTR)
Lexicoder Sentiment Dictionary (2015)
Virtual class "dfm" for a document-feature matrix
as.matrix,textstat_simil_sparse-method
as.matrix method for textstat_simil_sparse
Create a feature co-occurrence matrix
Convert a dfm to an lsa "textmatrix"
Recombine a dfm or fcm by combining identical dimension elements
Sort a dfm by frequency of one or more margins
Select or remove elements from a character vector
Combine dfm objects by Rows or Columns
Virtual class "fcm" for a feature co-occurrence matrix
Flatten a hierarchical dictionary into a list of character vectors
dfm_split_hyphenated_features
Split a dfm's hyphenated features into constituent parts
dictionary class objects and functions
redefinition of network::as.network()
Convert quanteda objects to non-quanteda formats
Combine documents in a dfm by a grouping variable
Function extending base::attributes()
Extract a subset of a corpus
Apply a dictionary to a dfm
US presidential inaugural address texts
dfm from data in Table 1 of Laver, Benoit, and Garry (2003)
Base method extensions for corpus objects
Construct a corpus object
Check if patterns contains glob wildcard
format a sparsity value for printing
Bootstrap a dfm
Remove sentences based on their token lengths or a pattern match
Conveniently edit dictionaries
Get the package version that created an object
Create a dictionary
Internal function to get, set or initialize system metadata
Internal function to extract docvars
Get or set object metadata
Check if a glob pattern is indexed by index_types
Locate keywords-in-context
Convert the case of the features of a dfm and combine
Remove sentences based on their token lengths or a pattern match
Compute the (weighted) document frequency of a feature
Internal function to convert a list to a dictionary
Declare a compound character to be a sequence of separate pattern matches
Function to assign multiple slots to a S4 object
Trim a dfm using frequency threshold-based feature selection
Set values to a fcm's S4 slots
Set values to a dfm's S4 slots
Sample a vector by a group
Pipe operator
Internal function to subset or duplicate docvar rows
Recast the document units of a corpus
Get or set document-level meta-data
Get or set document names
Internal functions for dfm objects
Formerly included data objects
Randomly sample documents or features from a dfm
Plot a network of feature co-occurrences
Plot word keyness
Select features from a dfm or fcm
Get the feature labels from a dfm
Get or set document-level variables
Extract a subset of a dfm
Internal data sets
Sort an fcm in alphabetical order of the features
Shortcut functions to access or assign metadata
Create a document-feature matrix
Compute the frequencies of features
Weight a dfm by tf-idf
Grouping variable(s) for various functions
Weight the feature frequencies in a dfm
Count syllables in a text
Count the number of tokens or types
Utility function to remove empty keys
Calculate lexical diversity
replace_dictionary_values
Internal function to replace dictionary values
Calculate keyness statistics
Recombine documents tokens by groups
Special handling for names of quanteda objects
Return the first or last part of a corpus
Apply a dictionary to a tokens object
convert same-value pairs to NA in a textstat_proxy object
Internal function for special handling of multi-word dictionary values
Internal function for select_types()
to check if a string is a regular expression
Summarize a corpus
Internal function for select_types()
to escape regular expressions
Get or assign corpus texts
Simpler and faster version of expand.grid() in base package
Unlist a list of integer vectors safely
Identify and score multi-word expressions
textstat_simil/dist classes
Compute keyness (internal functions)
[Experimental] Compute document/feature proximity
friendly_class_undefined_message
Print friendly object class not defined message
Converts a Matrix to a dfm
Converts a Matrix to a fcm
Convert regex and glob patterns to type IDs or fixed patterns
Raise warning of unused dots
Generate a grouping vector from docvars
Return the first or last part of a dfm
Convert various input as pattern to a vector used in tokens_select,
tokens_compound and kwic.
Return the first or last part of a textstat_proxy object
Convert token sequences into compound tokens
Print methods for quanteda core objects
Segment tokens object by chunks of a given size
Internal functions to create a list for the meta attribute
lowercase_dictionary_values
Internal function to lowercase dictionary values
Internal function to merge values of duplicated keys
Count the number of documents or features
Count the Scrabble letter values of text
Count the number of sentences
Get word types from a tokens object
Utility function to generate a nested list
Print a phrase object
Function to serialize list-of-character tokens
Internal functions to set dimnames
Return an error message
An R package for the quantitative analysis of textual data
Objects exported from other packages
Pattern for feature, token and keyword matching
Extensions for and from spacy_parse objects
Internal functions to import dictionary files
Object compilers
Get or set package options for quanteda
Internal function for textplot_wordcloud
Unlist a list of character vectors safely
Compute the sparsity of a document-feature matrix
Plot features as a wordcloud
Plot the dispersion of key word(s)
quanteda tokenizers
Construct a tokens object
Compute entropies of documents or features
Internal function for select_types
to search the index using
fastmatch.
Summarize documents
Select types without performing slow regex search
Similarity and distance computation between documents or features
Tabulate feature frequencies
Segment tokens object by patterns
Replace tokens in a tokens object
Select or remove tokens from a tokens object
Stem the terms in an object
Split tokens by a separator pattern
Extract a subset of a tokens
Randomly sample documents from a tokens object
Identify the most frequent features in a dfm
Functions to add or retrieve corpus summary metadata
Models for scaling and classification of textual data
Calculate readability
Select rows of textstat objects by glob, regex or fixed patterns
Create ngrams and skipgrams from tokens
Convert the case of tokens
[Experimental] Change direction of words in tokens
Pattern matching using valuetype
Internal function for textplot_wordcloud
recompile a serialized tokens object