lda_terms: View Terms heavily associated with each topic

In abuchmueller/Twitmo: Twitter Topic Modeling and Visualization for R

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)

abuchmueller/Twitmo documentation built on Sept. 14, 2022, 8:06 p.m.