lda_distribution: View distribution of fitted LDA Models

In Twitmo: Twitter Topic Modeling and Visualization for R

Description

View the distribution of your fitted LDA model.

Usage

lda_distribution(lda_model, param = "gamma", tidy = FALSE)

Arguments

lda_model	Object of class LDA).
param	String. Specify either "beta" to return the term distribution over topics (term per document) or "gamma" for the document distribution over. topics (i.e. hashtag pool per topic probability).
tidy	Logical. Specify TRUE for return distribution in tidy format (tbl).

Value

Data frame or tbl of Term (beta) or document (gamma) distribution over topics.

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")

# Choose either "beta" to return the term distribution
# over topics (term per document) or "gamma" for the document distribution over
# topics (hashtag pool per topic probability)
lda_distribution(model, param = "gamma")

## End(Not run)

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