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wordvector (version 0.6.0)

Word and Document Vector Models

Description

Create dense vector representation of words and documents using 'quanteda'. Currently implements Word2vec (Mikolov et al., 2013) and Latent Semantic Analysis (Deerwester et al., 1990) .

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Version

Install

install.packages('wordvector')

Monthly Downloads

171

Version

0.6.0

License

Apache License (>= 2.0)

Issues

7

Pull Requests

1

Stars

14

Forks

1

Maintainer

Kohei Watanabe

Last Published

December 9th, 2025

Functions in wordvector (0.6.0)

print.textmodel_doc2vec

Print method for trained document vectors
as.matrix.textmodel_doc2vec

Extract word or document vectors
as.textmodel_doc2vec

Create distributed representation of documents
probability

Compute probability of words
textmodel_doc2vec

Doc2vec model
similarity

Compute similarity between word or document vectors
analogy

Convert formula to named character vector
textmodel_word2vec

Word2vec model
textmodel_lsa

Latent Semantic Analysis model
data_corpus_news2014

Yahoo News summaries from 2014
perplexity

Compute perplexity of a model
print.textmodel_word2vec

Print method for trained word vectors