check_analogy_accuracy

<code>list</code> of questions. Each element of
<code>questions_list</code> is a <code>integer matrix</code> with four columns. It
represents a set of questions related to a particular category. Each
element of matrix is an index of a row in <code>m_word_vectors</code>. See output
of <a rd-options="" href="/link/prepare_analogy_questions?package=text2vec&version=0.6" data-mini-rdoc="text2vec::prepare_analogy_questions">prepare_analogy_questions</a> for details

questions_list

word vectors <code>numeric matrix</code>. Each row should
represent a word.

m_word_vectors

This function checks how well the GloVe word embeddings do on
 the analogy task. For full examples see <a rd-options="" href="/link/GloVe?package=text2vec&version=0.6" data-mini-rdoc="text2vec::GloVe">GloVe</a>.

Fast and memory-friendly tools for text vectorization, topic
modeling (LDA, LSA), word embeddings (GloVe), similarities. This package
provides a source-agnostic streaming API, which allows researchers to perform
analysis of collections of documents which are larger than available RAM. All
core functions are parallelized to benefit from multicore machines.

Dmitriy Selivanov

text2vec

Modern Text Mining Framework for R

Manuel Bickel

Qing Wang

check_analogy_accuracy function

<code>list</code> of questions. Each element of
<code>questions_list</code> is a <code>integer matrix</code> with four columns. It
represents a set of questions related to a particular category. Each
element of matrix is an index of a row in <code>m_word_vectors</code>. See output
of <a rd-options='' href='prepare_analogy_questions'>prepare_analogy_questions</a> for details

This function checks how well the GloVe word embeddings do on
 the analogy task. For full examples see <a rd-options='' href='GloVe'>GloVe</a>.

check_analogy_accuracy: Checks accuracy of word embeddings on the analogy task

Description

Usage

Arguments

See Also