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wordvector (version 0.6.1)

Word and Document Vector Models

Description

Create dense vector representation of words and documents using 'quanteda'. Implements Word2vec (Mikolov et al., 2013) , Doc2vec (Le & Mikolov, 2014) and Latent Semantic Analysis (Deerwester et al., 1990) .

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Version

Install

install.packages('wordvector')

Monthly Downloads

171

Version

0.6.1

License

Apache License (>= 2.0)

Issues

4

Pull Requests

1

Stars

14

Forks

1

Maintainer

Kohei Watanabe

Last Published

February 25th, 2026

Functions in wordvector (0.6.1)

probability

Compute probability of words
similarity

Compute similarity between word or document vectors
textmodel_doc2vec

Doc2vec model
perplexity

Compute perplexity of a model
analogy

Convert formula to named character vector
as.matrix.textmodel_doc2vec

Extract word or document vectors
as.textmodel_doc2vec

Create distributed representation of documents
textmodel_lsa

Latent Semantic Analysis model
textmodel_word2vec

Word2vec model
print.textmodel_word2vec

Print method for trained word vectors
print.textmodel_doc2vec

Print method for trained document vectors
data_corpus_news2014

Yahoo News summaries from 2014