What are the common challenges in text classification?

What are the common challenges in text classification?

Some common challenges include data quality, class imbalance, feature selection, and model interpretability.

Can you explain how data quality affects text classification?

Data quality impacts the accuracy of the model; noisy or irrelevant data can lead to poor performance.

What is class imbalance and why is it a problem?

Class imbalance occurs when some classes have significantly more samples than others, leading to biased predictions.

How can I improve feature selection in my model?

You can use techniques like TF-IDF, word embeddings, or feature importance scores to enhance feature selection.