Description Usage Arguments References
#' Function to predict topic model probabilities for existing topic model #' #' @param topic.model tmTopicModel obiect #' @param x tmCorpus object #' @param stoplist_file directory of file with stopwords #' @param token_regexp regular expression patterns #' @param burn_in parameter of mallet model #' @param sampling_interval parameter of mallet model #' @param n_iterations parameter of mallet model #' @param random_seed parameter of mallet model #' @param change predict structure so it fits normal #' #' @return returns the table of topic probabilities #' #' @export predict <- function(topic.model, x, stoplist_file = "en.txt", token_regexp = regexp_token, n_iterations = 100, sampling_interval = 10, burn_in = 10, random_seed = NULL) UseMethod("predict") Function to predict topic model probabilities for an existing topic model. The code snippets for Mallet interface were derived from Andrew Goldstone's solution, posted at https://gist.github.com/agoldst/edcfd45b5ac371296b76
1 2 3 4 5 6 7 8 9 10 11 12 | ## S3 method for class 'tmTopicModel'
predict(object, x, stoplist_file = "en.txt",
token_regexp = regexp_token, n_iterations = 100, sampling_interval = 10,
burn_in = 10, random_seed = NULL, ...)
## S3 method for class 'LDA'
predict(object, x, ...)
## S3 method for class 'jobjRef'
predict(object, x, stoplist_file = "en.txt",
token_regexp = regexp_token, n_iterations = 100, sampling_interval = 10,
burn_in = 10, random_seed = NULL, ...)
|
object |
A |
x |
new data to predict probabilities of topics |
stoplist_file |
file direcroty or vector of stopwords |
token_regexp |
regular expression token |
n_iterations |
mallet LDA topic model parameter |
sampling_interval |
mallet LDA topic model parameter |
burn_in |
mallet LDA topic model parameter |
random_seed |
random seed |
... |
other motdel arguments |
https://gist.github.com/agoldst/edcfd45b5ac371296b76
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