Man pages for haukelicht/politicaltweets
Classify political tweets
| check_column_types | Check input data column types |
| check_dependencies | Check dependencies |
| classify_tweets | Classify tweets into political and non-political |
| classify_tweets_debug_warning | Raise 'classify_tweets' debugging warning |
| classify_tweets_predict | 'classify_tweets' core module |
| col_msg | Create column check message |
| compute_tweet_features | Compute tweet features |
| constituent.models | Constituent model (pre-trained base learners) |
| create_tweet_features | Create tweet features |
| create_tweet_text_representations | Create tweet text representations |
| detect_missings | Detect missings |
| ensemble.model | Ensemble model (pre-trained ensemble classifier) |
| get_model_predvars | Get model(s) predictor variable/feature names |
| laser.embedding.icomp | 300 independent components of LASER representations of tweets... |
| laser.embedding.prcomp | First 300 principal components of LASER representations of... |
| required.tweets.df.cols | Required tweets data frame columns |
| str_detect_one_quote_pattern | Detect a quote pattern in text |
| str_detect_quote | Detect quotes in strings |
| str_detect_quote_one | Detect quotes in a string |
| str_emoji_stats | Compute Emoji statistics for string |
| str_pattern_width | Compute number of characters matching pattern |
| str_unicode_char_ratio | Compute Unicode character ratio |
| str_unicode_count | Compute Unicode character count |
| superSumFun | Custom two-class summary function |
| text.quote.patterns | Text quote patterns |
| tweets.df.prototype | Tweets data frame prototype |
| validate_column_mapping | Validate column mapping |
| validate_train_ctrl_sum_fun | Validate 'trainControl' summary function |
