lda_terms {Twitmo} | R Documentation |
View Terms heavily associated with each topic
Description
Convenience Function to extract the most likely terms for each topic.
Usage
lda_terms(lda_model, n_terms = 10)
Arguments
lda_model |
Fitted LDA Model. Object of class LDA). |
n_terms |
Integer number of terms to return. |
Value
Data frame with top n terms for each topic.
Examples
## Not run:
library(Twitmo)
# load tweets (included in package)
mytweets <- load_tweets(system.file("extdata", "tweets_20191027-141233.json", package = "Twitmo"))
# Pool tweets into longer pseudo-documents
pool <- pool_tweets(data = mytweets)
pooled_dfm <- pool$document_term_matrix
# fit your LDA model with 7 topics
model <- fit_lda(pooled_dfm, n_topics = 7, method = "Gibbs")
## End(Not run)
[Package Twitmo version 0.1.2 Index]