text2vocab: Convert a vector of texts into a vocabulary object
In John-Poplett/novels: Predicting Success of Literary Texts
Description
Convert a vector of texts into a vocabulary object
Usage
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text2vocab(
it,
documentCount,
ngram = c(1L, 3L),
documentMinimum = 10,
stopWords = stopwords()
)
Arguments
it
a text2vec token iterator
documentCount
count of documents in dataset
ngram
a list specifying the min/max for ngrams
documentMinimum
a word must appear in no less than n documents
stopWords
words to eliminate from the vocabulary object (use character(0) for none)
John-Poplett/novels documentation built on Jan. 28, 2020, 12:02 a.m.
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Description
Convert a vector of texts into a vocabulary object
Usage
1 2 3 4 5 6 7 | text2vocab(
it,
documentCount,
ngram = c(1L, 3L),
documentMinimum = 10,
stopWords = stopwords()
)
|
Arguments
it |
a text2vec token iterator |
documentCount |
count of documents in dataset |
ngram |
a list specifying the min/max for ngrams |
documentMinimum |
a word must appear in no less than n documents |
stopWords |
words to eliminate from the vocabulary object (use character(0) for none) |
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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