Man pages for Twitmo
Twitter Topic Modeling and Visualization for R
| 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... |
| pipe | Pipe operator |
| 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 |
