How can I improve the accuracy of my NLP model?
To improve your NLP model's accuracy, consider using more diverse training data, fine-tuning hyperparameters, and employing techniques like transfer learning.
What kind of data should I include in my training set?
Include a variety of text sources that represent the language and context your model will encounter, such as social media posts, articles, and user queries.
How do I evaluate the accuracy of my model?
You can evaluate accuracy using metrics like precision, recall, F1 score, and confusion matrices on a validation dataset.
Are there any tools that can help with this?
Yes, tools like TensorFlow, PyTorch, and Hugging Face's Transformers library provide functionalities for training and evaluating NLP models.
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