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wordvector (version 0.1.0)

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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Install

install.packages('wordvector')

Monthly Downloads

429

Version

0.1.0

License

Apache License (>= 2.0)

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Maintainer

Kohei Watanabe

Last Published

December 11th, 2024

Functions in wordvector (0.1.0)

word2vec

Word2vec model
similarity

Compute similarity between word vectors
as.matrix.textmodel_wordvector

Extract word vectors
analogy

[experimental] Find analogical relationships between words
lsa

Latent Semantic Analysis model
print.textmodel_docvector

Print method for trained document vectors
doc2vec

Create distributed representation of documents
data_corpus_news2014

Yahoo News summaries from 2014
print.textmodel_wordvector

Print method for trained word vectors