concDict | R Documentation |
background function to load
concDict(
texts,
wordlist = NULL,
stop.words = TRUE,
number.words = TRUE,
shrink = FALSE,
fill = FALSE,
minwords = 0,
num.mc.cores = 1
)
texts |
character Vector of documents to classify |
wordlist |
Dictionary to be used. |
stop.words |
logical should stop words be kept? default is TRUE |
number.words |
logical should numbers be converted to words? default is TRUE |
shrink |
logical should scores on shorter documents be regularized? default is FALSE |
fill |
logical Should empty cells be assigned the mean rating? Default is FALSE. |
minwords |
numeric all documents with less words than this return NA. default is 0 (i.e. keep all documents) |
num.mc.cores |
numeric number of cores for parallel processing - see parallel::detectCores() |
concreteness score for each document
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