prepare_analogy_questions

<code>character</code> path to questions file.

questions_file_path

<code>character</code> words which we have in the
vocabulary and word embeddings matrix.

vocab_terms

<code>logical</code> whether to print messages during evaluation.

verbose

This function prepares a list of questions from a
 <code>questions-words.txt</code> format. For full examples see <a rd-options="" href="/link/GloVe?package=text2vec&version=0.4.0" 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

Lincoln Mullen

prepare_analogy_questions function

This function prepares a list of questions from a
 <code>questions-words.txt</code> format. For full examples see <a rd-options='' href='GloVe'>GloVe</a>.

prepare_analogy_questions: Prepares list of analogy questions

Description

Usage

Arguments

See Also