Twitter Topic Modeling and Visualization for R

Documentation for package ‘Twitmo’ version 0.1.2

cluster_tweets	Cluster tweets on an interactive map
filter_tweets	Filter tweets
find_lda	Find best LDA model
find_stm	Find best STM/CTM
fit_ctm	Fit CTM (Correlated topic model)
fit_lda	Fit LDA Topic Model
fit_stm	Fit STM (Structural topic model)
get_tweets	Sample tweets by streaming or searching
lda_distribution	View distribution of fitted LDA Models
lda_hashtags	View Documents (hashtags) heavily associated with topics
lda_terms	View Terms heavily associated with each topic
load_tweets	Converts Twitter stream data (JSON file) into parsed data frame
plot_hashtag	Plot tweets containing certain hashtag
plot_tweets	Plot tweets on a static map
pool_tweets	Prepare Tweets for topic modeling by pooling
predict_lda	Predict topics of tweets using fitted LDA model
to_ldavis	Create interactive visualization with LDAvis