Feature Engineering #1
Description
- Text complexity (e.g., average sentence length, vocabulary richness).
- Statistical properties (e.g., n-grams, part-of-speech tagging).
- Semantic features (e.g., coherence, topic modeling)
- Embedding (BERT, Llama)
- take care of the imbalance of data (triple the small class by simple duplicates)