Find synonyms using a word2vec model.
h2o.findSynonyms(word2vec, word, count = 20)
word2vec | A word2vec model. |
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word | A single word to find synonyms for. |
count | The top `count` synonyms will be returned. |
# 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) # }