A Fast and Flexible Pipeline for Text Classification
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Documentation for package ‘quickSentiment’ version 0.1.0
Help Pages
| BOW_test | Transform New Text into a Document-Feature Matrix |
| BOW_train | Train a Bag-of-Words Model |
| logit_model | Train a Regularized Logistic Regression Model using glmnet |
| pipeline | Run a Full Text Classification Pipeline on Preprocessed Text |
| prediction | Predict Sentiment on New Data Using a Saved Pipeline Artifact |
| pre_process | Preprocess a Vector of Text Documents |
| rf_model | functions/random_forest_fast.R Train a Random Forest Model using Ranger |
| xgb_model | Train a Gradient Boosting Model using XGBoost |