Word and Document Vector Models
Convert formula to named character vector
Extract word vectors
Print method for trained document vectors
Print method for trained word vectors
Compute probability of words
Compute similarity between word vectors
Create distributed representation of documents
Latent Semantic Analysis model
Word2vec model
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>.