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word2vec

Distributed Representations of Words

Learn vector representations of words by continuous bag of words and skip-gram implementations of the 'word2vec' algorithm. The techniques are detailed in the paper "Distributed Representations of Words and Phrases and their Compositionality" by Mikolov et al. (2013), available at <arXiv:1310.4546>.

Functions (9)

as.matrix.word2vec

Get the word vectors of a word2vec model

doc2vec

Get document vectors based on a word2vec model

predict.word2vec

Predict functionalities for a word2vec model

read.word2vec

Read a binary word2vec model from disk

read.wordvectors

Read word vectors from a word2vec model from disk

txt_clean_word2vec

Text cleaning specific for input to word2vec

word2vec

Train a word2vec model on text

word2vec_similarity

Similarity between word vectors as used in word2vec

write.word2vec

Save a word2vec model to disk

word2vec

Distributed Representations of Words

v0.3.3
Apache License (>= 2.0)
Authors
Jan Wijffels [aut, cre, cph] (R wrapper), BNOSAC [cph] (R wrapper), Max Fomichev [ctb, cph] (Code in src/word2vec)
Initial release

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