Text Feature Extraction

Convert text into numerical features for model training. Methods include:

• Bag of Words (BoW): Represents text as word frequency vectors.
• TF-IDF (Term Frequency-Inverse Document Frequency): Weighs words based on importance across documents.
• N-grams: Captures word sequences to preserve context.