fit_lda: Fit LDA Topic Model

In Twitmo: Twitter Topic Modeling and Visualization for R

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)

Twitmo documentation built on Dec. 11, 2021, 10:01 a.m.