Build a text classification model to categorize text documents into predefined classes. Use techniques like bag-of-words, word embeddings, or transformer-based models (e.g., BERT). Evaluate the model’s performance using metrics like accuracy, precision, and recall. Discuss potential applications in sentiment analysis or document categorization.
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