wordvector0.6.0 package

Word and Document Vector Models

analogy

Convert formula to named character vector

as.matrix

Extract word or document vectors

as.textmodel_doc2vec

Create distributed representation of documents

perplexity

Compute perplexity of a model

print.textmodel_doc2vec

Print method for trained document vectors

print.textmodel_word2vec

Print method for trained word vectors

probability

Compute probability of words

similarity

Compute similarity between word or document vectors

textmodel_doc2vec

Doc2vec model

textmodel_lsa

Latent Semantic Analysis model

textmodel_word2vec

Word2vec model

Download source packageRead PDF manual

Create dense vector representation of words and documents using 'quanteda'. Currently implements Word2vec (Mikolov et al., 2013) <doi:10.48550/arXiv.1310.4546> and Latent Semantic Analysis (Deerwester et al., 1990) <doi:10.1002/(SICI)1097-4571(199009)41:6%3C391::AID-ASI1%3E3.0.CO;2-9>.