fit_lda {Twitmo}

Fit LDA Topic Model

Description

Estimate a LDA topic model using VEM or Gibbs Sampling.

Usage

fit_lda(pooled_dfm, n_topics, ...)

Arguments

pooled_dfm

Object of class dfm (see dfm) containing (pooled) tweets.

n_topics

Integer with number of topics.

...

Additional arguments passed to LDA.

Value

Object of class LDA.

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)