Read word vectors from a word2vec model from disk
Read word vectors from a word2vec model from disk into a dense matrix
read.wordvectors(
file,
type = c("bin", "txt"),
n = .Machine$integer.max,
normalize = FALSE,
encoding = "UTF-8"
)file |
the path to the model file |
type |
either 'bin' or 'txt' indicating the |
n |
integer, indicating to limit the number of words to read in. Defaults to reading all words. |
normalize |
logical indicating to normalize the embeddings by dividing by the factor (sqrt(sum(x . x) / length(x))). Defaults to FALSE. |
encoding |
encoding to be assumed for the words. Defaults to 'UTF-8' |
A matrix with the embeddings of the words. The rownames of the matrix are the words which are by default set to UTF-8 encoding.
path <- system.file(package = "word2vec", "models", "example.bin") embed <- read.wordvectors(path, type = "bin", n = 10) embed <- read.wordvectors(path, type = "bin", n = 10, normalize = TRUE) embed <- read.wordvectors(path, type = "bin") path <- system.file(package = "word2vec", "models", "example.txt") embed <- read.wordvectors(path, type = "txt", n = 10) embed <- read.wordvectors(path, type = "txt", n = 10, normalize = TRUE) embed <- read.wordvectors(path, type = "txt")
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