prepare_analogue_questions

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

questions_file_path

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

vocab_terms

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

verbose

for full examples see <a href="/link/glove?package=text2vec&version=0.2.0" rd-options="" data-mini-rdoc="text2vec::glove">glove</a>

Very fast and memory-friendly tools for text vectorization and
    learning word embeddings (GloVe). Also package provides source-agnostic
    streaming API, which allows to perform analysis of collections
    of documents, which are much larger the available RAM.

prepare_analogue_questions: Prepares questions list from `questions-words.txt` format.

Description

Usage

Arguments

See Also