lda_terms: View Terms heavily associated with each topic
In Twitmo: Twitter Topic Modeling and Visualization for R

Description Usage Arguments Value Examples

Convenience Function to extract the most likely terms for each topic.

1	lda_terms(lda_model, n_terms = 10)

`lda_model`	Fitted LDA Model. Object of class LDA).
`n_terms`	Integer number of terms to return.

Data frame with top n terms for each topic.

## 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)