# Twitter Topic Modeling and Visualization for R

## Documentation for package ‘Twitmo’ version 0.1.2

- DESCRIPTION file.
- Package NEWS.

## Help Pages

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