Emotion Analysis and Emoji Mapping for Text
Evaluate a Random Forest Model on Test Data
Handle Negation in Token List
Predict Emotion with Emoji Representation
Preprocess Text with Slang Handling
Train a full model pipeline including text preprocessing, TF-IDF vecto...
Train a Random Forest Model with TF-IDF Features
Train a TF-IDF Model (for Training Phase)
Tune Random Forest Model Hyperparameters
Allows users to analyze text and classify emotions such as happiness, sadness, anger, fear, and neutrality. It combines text preprocessing, TF-IDF (Term Frequency-Inverse Document Frequency) feature extraction, and Random Forest classification to predict emotions and map them to corresponding emojis for enhanced sentiment visualization.