train: train for 'tmCorpus' object

In textmining: Integration of Text Mining and Topic Modeling Packages

Description

#' Function to create train Topic Model #' #' @param x tmCorpus object #' @param ... settings for mallet.doc.topics and mallet.topic.words #' #' @return returns object of a class tmTopicModel #' #' @export train <- function(x, ...) UseMethod("train")

Usage

## S3 method for class 'tmCorpus'
train(x, k = 20, stoplist_file = "en.txt",
  token_regexp = regexp_token, alpha_opt = 20, burn_in = 50,
  train = 200, maximize = 10, package = "mallet", ...)

## S3 method for class 'DocumentTermMatrix'
train(x, k = 20, ...)

Arguments

x	A tmCorpus object or DocumentTermMatrix object
k	number of topics
stoplist_file	file direcroty or vector of stopwords
token_regexp	regular expression token
alpha_opt	mallet LDA topic model parameter
burn_in	mallet LDA topic model parameter
train	mallet LDA topic model parameter
maximize	mallet LDA topic model parameter
package	package to train topic mdoel can be set to "mallet" or "topicmodels"
...	other model arguments

textmining documentation built on May 2, 2019, 6:47 a.m.