make_meta

make_meta_corpus

make_meta_tokens

make_meta_dfm

make_meta_dictionary2

update_meta

object class either <code>dfm</code>, <code>tokens</code> or <code>corpus</code>

class

inherit

values assigned to the object meta fields

default values for the meta attribute

default

Internal functions to create a list for the meta attribute

internal

A fast, flexible, and comprehensive framework for
quantitative text analysis in R.  Provides functionality for corpus management,
creating and manipulating tokens and ngrams, exploring keywords in context,
forming and manipulating sparse matrices
of documents by features and feature co-occurrences, analyzing keywords, computing feature similarities and
distances, applying content dictionaries, applying supervised and unsupervised machine learning,
visually representing text and text analyses, and more.

Kenneth Benoit

quanteda

Quantitative Analysis of Textual Data

Kohei Watanabe

Haiyan Wang

Paul Nulty

Adam Obeng

Stefan M<c3><bc>ller

Akitaka Matsuo

Jiong Wei Lua

Jouni Kuha

William Lowe

Christian M<c3><bc>ller

Lori Young

Stuart Soroka

Ian Fellows

European Research Council 

make_meta function

Internal functions to create a list for the meta attribute — make_meta

Internal functions to create a list for the meta attribute

make_meta: Internal functions to create a list for the meta attribute

Description

Usage

Arguments