compute_similarity {conText}

Compute similarity vector (sub-function of bootstrap_similarity)

Description

Compute similarity vector (sub-function of bootstrap_similarity)

Usage

compute_similarity(
  target_embeddings = NULL,
  pre_trained = NULL,
  candidates = NULL,
  norm = NULL
)

Arguments

target_embeddings

the target embeddings (embeddings of context)

pre_trained

a V x D matrix of numeric values - pretrained embeddings with V = size of vocabulary and D = embedding dimensions

candidates

character vector defining the candidates for nearest neighbors - e.g. output from get_local_vocab

norm

character = c("l2", "none") - set to 'l2' for cosine similarity and to 'none' for inner product (see ?sim2 in text2vec)

Value

vector of cosine similarities between alc embedding and nearest neighbor candidates