textmodels

The <code>textmodel_*()</code> functions formerly in quanteda have now been moved
to the quanteda.textmodels package.

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 

textmodels function

Models for scaling and classification of textual data — textmodels

Models for scaling and classification of textual data

textmodels: Models for scaling and classification of textual data

Description

Arguments

See Also