Given a corpus, divide into K-folds and do test-train spilts averaged over the folds.
find.CV.C(corpus, labeling, banned, K = 5, length.out = 10,
max_C = NULL, verbose = FALSE, ...)The text
The labeling
The words to drop.
Number of folds for K-fold cross-validation
number of values of C to examine from 0 to max_C.
upper bound for tuning parameter; if NULL, sets max_C to threshold C
Print progress
parameters to be passed to the original textreg() function
a dataframe containing the mean/standard error of out-of-sample predictions under K-Fold Cross-validation
Increments tuning parameter, performs K-fold cross-validation on each C giving a profile of predictive power for different C.
make.CV.chart