speed_set_vocabulary: A function the reorgaizes vocabulary to speed up document...
In matthewjdenny/SpeedReader: High Performance Text Analysis
Description
Usage
Arguments
Value
View source: R/speed_set_vocabulary.R
Description
A function the reorgaizes vocabulary to speed up document term matrix formation using a string stem dictionary.
Usage
1
speed_set_vocabulary(vocab, term_frequency_threshold = 0, cores = 1)
Arguments
vocab
A vocabulary list object returned by the count_words() function.
term_frequency_threshold
A threshold below which all words appearing fewer than that many times in the corpus will be removed. Defaults to 0 in which case no words will be removed.
cores
The number of cores we wish to use for parallelization to speed up computation. Defaults to 1.
Value
A vocabulary list object.
matthewjdenny/SpeedReader documentation built on March 25, 2020, 5:32 p.m.
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Description Usage Arguments Value
View source: R/speed_set_vocabulary.R
Description
A function the reorgaizes vocabulary to speed up document term matrix formation using a string stem dictionary.
Usage
1 | speed_set_vocabulary(vocab, term_frequency_threshold = 0, cores = 1)
|
Arguments
vocab |
A vocabulary list object returned by the count_words() function. |
term_frequency_threshold |
A threshold below which all words appearing fewer than that many times in the corpus will be removed. Defaults to 0 in which case no words will be removed. |
cores |
The number of cores we wish to use for parallelization to speed up computation. Defaults to 1. |
Value
A vocabulary list object.
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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