How accurate is text classification in AI?

How accurate is text classification in AI?

The accuracy of text classification can vary widely depending on the model, data quality, and complexity of the task. Generally, state-of-the-art models can achieve over 90% accuracy on well-defined tasks.

What factors influence the accuracy of text classification?

Key factors include the quality and quantity of training data, the choice of algorithms, feature selection, and the presence of noise in the data.

Can you give examples of text classification applications?

Sure! Text classification is used in spam detection, sentiment analysis, topic labeling, and even in medical diagnosis.

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

You can improve accuracy by using more diverse training data, fine-tuning your model, employing ensemble methods, and optimizing hyperparameters.