h2o.tokenize is similar to h2o.strsplit, the difference between them is that h2o.tokenize will store the tokenized text into a single column making it easier for additional processing (filtering stop words, word2vec algo, ...).
h2o.tokenize(x, split)
Arguments
x: The column or columns whose strings to tokenize.
split: The regular expression to split on.
Returns
An H2OFrame with a single column representing the tokenized Strings. Original rows of the input DF are separated by NA.
Examples
## Not run:library(h2o)h2o.init()string_to_tokenize <- as.h2o("Split at every character and tokenize.")tokenize_string <- h2o.tokenize(as.character(string_to_tokenize),"")## End(Not run)