Feature Request: Text Classification - Implement Multi-class Text Classification

[HsiangNianian]

Text classification is an essential NLP task where the goal is to categorize a given text into one or more predefined categories. Common use cases include spam detection, news categorization, and sentiment analysis.

Data Preparation: How to handle class imbalance in training datasets?
Modeling: Which models should we experiment with (e.g., Logistic Regression, Naive Bayes, or neural models like BERT)?
Evaluation Metrics: What metrics should be used to evaluate the performance? (e.g., Precision, Recall, F1 Score)

Expected Outcome

• Implement a text classification model that supports multi-class categorization.
• Integration with the iamai toolkit and clear usage instructions.