markovify_text | R Documentation |
Produces text output from a markov model based pn user specified parameters
markovify_text( markov_model, maximum_sentence_length = NULL, start_words = NULL, output_column_name = "columnName", count = 50, tries = 100, only_distinct = TRUE, return_message = TRUE )
markov_model |
a markov model produced from |
maximum_sentence_length |
the maximum length of the sentence
if |
start_words |
a markov model produced with a list of start word terms |
output_column_name |
name of the |
count |
count of the number of sentences, default |
tries |
count of the number of tries to produce a coherent sentence |
only_distinct |
if |
return_message |
if |
a tibble
## Not run: library(dplyr) library(markovifyR) data("linneman_lessons") df <- linneman_lessons lessons <- df %>% pull(textLesson) markov_model <- generate_markovify_model( input_text = lessons, markov_state_size = 2L, max_overlap_total = 15, max_overlap_ratio = .8) markovify_text( markov_model = markov_model, count = 100, maximum_sentence_length = 1500L, output_column_name = 'linnemanBotText', tries = 100, only_distinct = TRUE, return_message = TRUE ) ## End(Not run)
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