Coercion functions for fcm objects
Convert the case of character objects
Check if font is available on the system
Extract a subset of a corpus
Remove sentences based on their token lengths or a pattern match
Lexicoder Sentiment Dictionary (2015)
Virtual class "dfm" for a document-feature matrix
Coercion and checking functions for dictionary objects
Coerce a dist into a dist
Convert the case of the features of a dfm and combine
redefinition of network::as.network()
Coerce various objects to statistics_textmodel
This is a helper function used in summary.textmodel_*.
Trim a dfm using frequency threshold-based feature selection
Virtual class "fcm" for a feature co-occurrence matrix
The fcm class of object is a special type of fcm object with
additional slots, described below. Extract model coefficients from a fitted textmodel_ca object
Convenience wrappers for dfm convert
A paragraph of text for testing various text-based functions
Create a feature co-occurrence matrix
Sort an fcm in alphabetical order of the features
Immigration-related sections of 2010 UK party manifestos
as.coefficients_textmodel
Coerce various objects to coefficients_textmodel
This is a helper function used in summary.textmodel_*.
Get the feature labels from a dfm
coerce a compressed corpus to a standard corpus
Assign the summary.textmodel class to a list
Coerce a compressed corpus to a standard corpus
Coercion, checking, and combining functions for tokens objects
data_corpus_dailnoconf1991
Confidence debate from 1991 Irish Parliament
Coercion and checking functions for dfm objects
Convert quanteda dictionary objects to the YAML format
US presidential inaugural address texts
Get or set corpus metadata
Bootstrap a dfm
Get or set document-level meta-data
Combine dfm objects by Rows or Columns
Extract a subset of a dfm
Count syllables in a text
Weight a dfm by tf-idf
Count the number of tokens or types
View methods for quanteda
Remove sentences based on their token lengths or a pattern match
Internal function to fit the likelihood scaling mixture model.
Create a dictionary
Utility function to create a object with new set of attributes
print.coefficients_textmodel
Print methods for textmodel features estimates
This is a helper function used in print.summary.textmodel.
Coerce a dist_selection object to a matrix
Construct a corpus object
Coerce a simil object into a matrix
Function extending base::attributes()
Convert a dfm to a non-quanteda format
Recast the document units of a corpus
Internal functions for dfm objects
Base method extensions for corpus objects
Randomly sample documents from a corpus
Create a document-feature matrix
Datasets with deprecated or defunct names
Sort a dfm by frequency of one or more margins
Recombine a dfm or fcm by combining identical dimension elements
Segment texts on a pattern match
data_corpus_irishbudget2010
Irish budget speeches from 2010
Replace features in dfm
Internal data sets
influence.predict.textmodel_affinity
Compute feature influence from a predicted textmodel_affinity object
Return the first or last part of a dfm
Select features from a dfm or fcm
Compute the (weighted) document frequency of a feature
Combine documents in a dfm by a grouping variable
Convert a dfm to an lsa "textmatrix"
dfm from data in Table 1 of Laver, Benoit, and Garry (2003)
Conversts a Matrix to a fcm
Randomly sample documents or features from a dfm
Internal function for select_types() to escape regular expressions
Print a dfm object
Simpler and faster version of expand.grid() in base package
Set values to a dfm's S4 slots
predict.textmodel_affinity
Prediction for a fitted affinity textmodel
Prediction from a fitted textmodel_nb object
Internal function to merge values of duplicated keys
predict.textmodel_wordfish
Prediction from a textmodel_wordfish method
predict.textmodel_wordscores
Predict textmodel_wordscores
Get or set document names
Grouping variable(s) for various functions
Return the first or last part of a corpus
Objects exported from other packages
Utility function to remove empty keys
Get or set document-level variables
Check if a glob pattern is indexed by index_types
Internal function for select_types() to check if a string is a regular expression
summary method for textmodel_nb objects
summary.textmodel_wordfish
summary method for textmodel_wordfish
Set values to a fcm's S4 slots
Summary statistics on a character vector
Apply a dictionary to a dfm
Naive Bayes classifier for texts
Wordfish text model
Compute keyness (internal functions)
Weight the feature frequencies in a dfm
Count the Scrabble letter values of text
Count the number of sentences
Calculate readability
Locate keywords-in-context
Calculate lexical diversity
Select or remove tokens from a tokens object
Wordscores text model
Wordshoal text model (redirect)
Apply a dictionary to a tokens object
textmodel_affinity-internal
Internal methods for textmodel_affinity
Recombine documents tokens by groups
Function to serialized list-of-character tokens
Calculate keyness statistics
Tabulate feature frequencies
Internal function to convert a list to a dictionary
Print a dictionary object
Stem the terms in an object
Identify the most frequent features in a dfm
Convert token sequences into compound tokens
friendly_class_undefined_message
Print friendly object class not defined message
Print a dist_selection object
Conversts a Matrix to a dfm
Generate a grouping vector from docvars
Tokenize a set of texts
Convert regex and glob patterns to type IDs or fixed patterns
Pattern for feature, token and keyword matching
Get or set package options for quanteda
Print a phrase object
Count the number of documents or features
Utility function to generate a nested list
Convert various input as pattern to a vector used in tokens_select,
tokens_compound and kwic.
Declare a compound character to be a sequence of separate pattern matches
Import a LIWC-formatted dictionary
An R package for the quantitative analysis of textual data
print method for a wordfish model
Get or set the corpus settings
Function to assign multiple slots to a S4 object
print method for summary.textmodel
print.statistics_textmodel
Implements print methods for textmodel_statistics
replace_dictionary_values
Internal function to replace dictionary values
Select types without performing slow regex search
Deprecated name for nscrabble
textmodel_lsa-postestimation
Post-estimations methods for textmodel_lsa
Internal function for select_types to search the index using
fastmatch.
Latent Semantic Analysis
Create ngrams and skipgrams from tokens
Plot a network of feature co-occurrences
Extensions for and from spacy_parse objects
Plot a fitted scaling model
recompile a serialized tokens object
Compute the sparsity of a document-feature matrix
Extract a subset of a tokens
summary.character method to override the network::summary.character()
Influence plot for text scaling models
Plot word keyness
Summarize a corpus
Convert the case of tokens
Internal function for textplot_wordcloud
Class affinity maximum likelihood text scaling model
Correspondence analysis of a document-feature matrix
Plot features as a wordcloud
Internal function for textplot_wordcloud
Get or assign corpus texts
Plot the dispersion of key word(s)
deprecated name for dfm_weight
Get word types from a tokens object
Deprecated form of dfm_tfidf Identify and score multi-word expressions
Select rows of textstat objects by glob, regex or fixed patterns
Pattern matching using valuetype
Similarity and distance computation between documents or features
Replace types in tokens object
Segment tokens object by patterns
Coerce a dist object into a list
Coerce a dist_selection object into a list
Coerce a dfm to a matrix or data.frame