summary.textmodel_nb

output from <code><a rd-options="" href="/link/textmodel_nb?package=quanteda&version=1.5.2" data-mini-rdoc="quanteda::textmodel_nb">textmodel_nb</a></code>

object

how many coefficients to print before truncating

summary method for textmodel_nb objects

internal

textmodel

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

Patrick O. Perry

Jouni Kuha

Benjamin Lauderdale

William Lowe

Christian M<c3><bc>ller

Lori Young

Stuart Soroka

Ian Fellows

European Research Council 

summary.textmodel_nb function

output from <code><a rd-options='' href='textmodel_nb'>textmodel_nb</a></code>

summary method for textmodel_nb objects — summary.textmodel_nb

summary method for textmodel_nb objects

summary.textmodel_nb: summary method for textmodel_nb objects

Description

Usage

Arguments