52k English-language GloVe word embeddings trained on metal lyrics

A matrix of 52,885 word vectors (rows) and 300 dimensions (columns). GloVe embeddings trained on a term-co-occurrence matrix (TCM) built from the prepped metal lyrics corpus with a context window. Each row is a word from the metal lyrics vocabulary.

Format

A matrix of 52,885 rows and 300 columns

Source

Derived from the metal lyrics corpus in text2map.corpora

Examples

if (FALSE) { # \dontrun{

## download the model (once per machine)
download_pretrained("vecs_glove300_metal_lyrics")

## load the model each session
wv <- load_pretrained("vecs_glove300_metal_lyrics")

## check dims
dim(wv) == c(52885, 300)

} # }