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