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h2o.findSynonyms

Find synonyms using a word2vec model.


Description

Find synonyms using a word2vec model.

Usage

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()

job_titles <- h2o.importFile(
    "https://s3.amazonaws.com/h2o-public-test-data/smalldata/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)

## End(Not run)

h2o

R Interface for the 'H2O' Scalable Machine Learning Platform

v3.32.1.2
Apache License (== 2.0)
Authors
Erin LeDell [aut, cre], Navdeep Gill [aut], Spencer Aiello [aut], Anqi Fu [aut], Arno Candel [aut], Cliff Click [aut], Tom Kraljevic [aut], Tomas Nykodym [aut], Patrick Aboyoun [aut], Michal Kurka [aut], Michal Malohlava [aut], Ludi Rehak [ctb], Eric Eckstrand [ctb], Brandon Hill [ctb], Sebastian Vidrio [ctb], Surekha Jadhawani [ctb], Amy Wang [ctb], Raymond Peck [ctb], Wendy Wong [ctb], Jan Gorecki [ctb], Matt Dowle [ctb], Yuan Tang [ctb], Lauren DiPerna [ctb], Tomas Fryda [ctb], H2O.ai [cph, fnd]
Initial release
2021-04-29

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