getTokenSets: Extracting Tokens from Natural Language
In politeness: Detecting Politeness Features in Text
getTokenSets R Documentation
Extracting Tokens from Natural Language
Description
Return tokens (words or POS tags) from natural language.
Usage
getTokenSets(text, parser = c("none", "spacy"), num_mc_cores = 1)
Arguments
text
a character vector of texts.
parser
character Name of dependency parser to use.
num_mc_cores
integer Number of cores for parallelization. Default is 1.
Value
list of compiled POS-tagged items.
politeness documentation built on Nov. 12, 2023, 5:06 p.m.
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| getTokenSets | R Documentation |
Extracting Tokens from Natural Language
Description
Return tokens (words or POS tags) from natural language.
Usage
getTokenSets(text, parser = c("none", "spacy"), num_mc_cores = 1)
Arguments
text |
a character vector of texts. |
parser |
character Name of dependency parser to use. |
num_mc_cores |
integer Number of cores for parallelization. Default is 1. |
Value
list of compiled POS-tagged items.
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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