ft_wv_sample

<p>These are a sample of the English fastText embeddings
including 770 words matching those used in the <code>jfk_speech</code>.
These are intended to be used for example code.</p>

datasets

This is a collection of functions optimized for working with
with various kinds of text matrices. Focusing on
the text matrix as the primary object - represented
either as a base R dense matrix or a 'Matrix' package sparse
matrix - allows for a consistent and intuitive interface
that stays close to the underlying mathematical foundation
of computational text analysis. In particular, the package
includes functions for working with word embeddings,
text networks, and document-term matrices. Methods developed in
Stoltz and Taylor (2019) <doi:10.1007/s42001-019-00048-6>,
Taylor and Stoltz (2020) <doi:10.1007/s42001-020-00075-8>,
Taylor and Stoltz (2020) <doi:10.15195/v7.a23>, and
Stoltz and Taylor (2021) <doi:10.1016/j.poetic.2021.101567>.

Dustin Stoltz

text2map

R Tools for Text Matrices, Embeddings, and Networks

Marshall Taylor

ft_wv_sample function

<p>A matrix of 770 rows and 300 columns</p>

ft_wv_sample: Sample of fastText embeddings

Description

Usage

Arguments

Format