| geo_map | Drawing twitter map |
| geo_map_1 | Drawing twitter map |
| geo_preprocess | Preprocess profile location data |
| geo_profile | Preprocess profile location data |
| geo_table | top location |
| get_tweet_preprocess | Preprocess get_tweet function list frame |
| given_model_K | The Matrix of Words and Weight for Topics |
| hashtags_network | hashtags Semantic network plot |
| hashtags_network_hub | hashtags Semantic network hub |
| hashtags_stat | hashtag statistics |
| hashtags_table | Top hashtags data frame |
| keyword_network | Keywords Semantic network plot |
| keyword_network_hub | Keywords Semantic network hub |
| keyword_table | Top keywords data frame |
| mention_network | mention network plot |
| mention_stat | mention statistics |
| mention_table | Top mention communicators |
| shiny_keyword | shiny Keywords Semantic network plot |
| shiny_mention | shiny mention & user table and network plot |
| shiny_sentiment | shiny sentiment word plot & radar plot |
| shiny_topic | shiny topic word plot & radar plot |
| text_delete | Preprocess Twitter textual data |
| topic_getwords | The Matrix of Words and Weight for Topics |
| topic_network | The network plot of topic model |
| topic_number | The Matrix of Words and Weight for Topics |
| topic_preprocess | Preprocess Twitter for topic modelling |
| topic_radarmap | Topic distribution by year |
| topic_radarmap_1 | Topic distribution with topic names |
| topic_trend | Topic distribution over the period by month |
| topic_wordcloud | The wordcloud plot for topics |
| topic_wordplot | The word term plot for topics |
| twitter_preprocess | Preprocess Twitter textual data |
| twitter_sentiment | NRC sentiment analysis |
| twitter_topic | Mallet Topic Modelling On Twitter Data |
| user_table | Top user data frame |
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