How can I improve the accuracy of my text classification model?

How can I improve the accuracy of my text classification model?

There are several strategies you can use, such as data augmentation, feature engineering, and hyperparameter tuning.

What is data augmentation and how does it help?

Data augmentation involves creating new training samples by modifying existing ones, which can help the model generalize better.

Can you give me some examples of feature engineering techniques?

Sure! Techniques include TF-IDF, word embeddings, and using n-grams to capture context.

How do I perform hyperparameter tuning effectively?

You can use techniques like grid search or random search, and consider using cross-validation to evaluate performance.