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

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=0.6" 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

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