Find synonyms using a word2vec model.

h2o.findSynonyms(word2vec, word, count = 20)

Arguments

word2vec

A word2vec model.

word

A single word to find synonyms for.

count

The top `count` synonyms will be returned.

Examples

# NOT RUN {
library(h2o)
h2o.init()

f <- "https://raw.githubusercontent.com/h2oai/sparkling-water/rel-1.6/examples/smalldata/"
job_titles <- h2o.importFile(paste0(f, "craigslistJobTitles.csv"),
                             col.names = c("category", "jobtitle"),
                             col.types = c("String", "String"), header = TRUE)
words <- h2o.tokenize(job_titles, " ")
vec <- h2o.word2vec(training_frame = words)
h2o.findSynonyms(vec, "teacher", count = 20)
# }