Describe different approaches to text classification, from traditional machine learning to deep learning. How do you handle class imbalance in text classification?

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Text classification assigns predefined categories to text documents. Applications include sentiment analysis, spam detection, topic categorization, and intent recognition. The field has evolved from feature engineering with traditional ML to end-to-end deep learning approaches.