quanteda

Coercion and checking methods for corpus objects

Convert a dfm to a data.frame

Coercion and checking functions for dfm objects

Coercion and checking functions for dictionary objects

Coercion and checking functions for fcm objects

Coerce a dfm to a matrix or data.frame

Coercion, checking, and combining functions for tokens objects

Convert quanteda dictionary objects to the YAML format

Function extending base::attributes()

Bootstrap a dfm

Combine dfm objects by Rows or Columns

Select or remove elements from a character vector

Convert the case of character objects

Check object class for functions

Check arguments passed to other functions via ...

Validate input vectors

Convert quanteda objects to non-quanteda formats

Convenience wrappers for dfm convert

Construct a corpus object

Base method extensions for corpus objects

Combine documents in corpus by a grouping variable

Recast the document units of a corpus

Randomly sample documents from a corpus

Segment texts on a pattern match

Extract a subset of a corpus

Remove sentences based on their token lengths or a pattern match

Internal data sets

Formerly included data objects

A paragraph of text for testing various text-based functions

Immigration-related sections of 2010 UK party manifestos

US presidential inaugural address texts

dfm from data in Table 1 of Laver, Benoit, and Garry (2003)

Lexicoder Sentiment Dictionary (2015)

Create a document-feature matrix

Virtual class "dfm" for a document-feature matrix

Internal functions for dfm objects

Convert a dfm to an lsa "textmatrix"

Recombine a dfm or fcm by combining identical dimension elements

Combine documents in a dfm by a grouping variable

Apply a dictionary to a dfm

Match the feature set of a dfm to given feature names

Replace features in dfm

Randomly sample documents from a dfm

Select features from a dfm or fcm

Sort a dfm by frequency of one or more margins

Extract a subset of a dfm

Weight a dfm by tf-idf

Convert the case of the features of a dfm and combine

Trim a dfm using frequency threshold-based feature selection

Weight the feature frequencies in a dfm

Create a dictionary

dictionary class objects and functions

Compute the (weighted) document frequency of a feature

Get or set document names

Get or set document-level variables

Internal function for select_types() to escape regular expressions

Simpler and faster version of expand.grid() in base package

Create a feature co-occurrence matrix

Virtual class "fcm" for a feature co-occurrence matrix

Sort an fcm in alphabetical order of the features

Compute the frequencies of features

Get the feature labels from a dfm

Shortcut functions to access or assign metadata

Flatten a hierarchical dictionary into a list of character vectors

format a sparsity value for printing

Internal function to extract docvars

Get the package version that created an object

Grouping variable(s) for various functions

Return the first or last part of a dfm

Locate a pattern in a tokens object

Check if an object is collocations

Check if patterns contains glob wildcard

Check if a glob pattern is indexed by index_types

Check if a string is a regular expression

Locate keywords-in-context

Internal function to convert a list to a dictionary

Internal function to lowercase dictionary values

Internal function to make new system-level docvars

Internal functions to create a list of the meta fields

Converts a Matrix to a dfm

Converts a Matrix to a fcm

Internal function to merge values of duplicated keys

Return an error message

Get or set object metadata

Internal function to get, set or initialize system metadata

Conditionally format messages

Special handling for names of quanteda objects

Count the number of documents or features

Utility function to generate a nested list

Count the number of sentences

Count the number of tokens or types

Object builders

Match quanteda objects against token types

Pattern for feature, token and keyword matching

Match patterns against token types

Declare a compound character to be a sequence of separate pattern matches

Pipe operator

Print methods for quanteda core objects

Print a phrase object

An R package for the quantitative analysis of textual data

Get or set package options for quanteda

Internal functions to import dictionary files

Extensions for readtext objects

Objects exported from other packages

Utility function to remove empty keys

Internal function to replace dictionary values

Sample a vector

Internal function to subset or duplicate docvar rows

Select types without performing slow regex search

Internal function for select_types to search the index using fastmatch.

Function to serialize list-of-character tokens

Internal functions to set dimnames

Extensions for and from spacy_parse objects

Compute the sparsity of a document-feature matrix

Internal function for special handling of multi-word dictionary values

Summarize a corpus

Functions to add or retrieve corpus summary metadata

Models for scaling and classification of textual data

Plots for textual data

Get or assign corpus texts [deprecated]

Statistics for textual data

quanteda tokenizers

Construct a tokens object

Base method extensions for tokens objects

Segment tokens object by chunks of a given size

Convert token sequences into compound tokens

Combine documents in a tokens object by a grouping variable

Apply a dictionary to a tokens object

Create ngrams and skipgrams from tokens

recompile a serialized tokens object

Replace tokens in a tokens object

Randomly sample documents from a tokens object

Segment tokens object by patterns

Select or remove tokens from a tokens object

Split tokens by a separator pattern

Extract a subset of a tokens

Convert the case of tokens

Stem the terms in an object

Identify the most frequent features in a dfm

Get word types from a tokens object

Unlist a list of character vectors safely

Unlist a list of integer vectors safely

Pattern matching using valuetype