What are the key components of NLP tools architecture?

What are the key components of NLP tools architecture?

The key components include data preprocessing, feature extraction, model training, and evaluation.

Can you explain data preprocessing in more detail?

Data preprocessing involves cleaning and transforming raw text into a format suitable for analysis, like tokenization.

What role does feature extraction play in NLP?

Feature extraction converts text into numerical representations, enabling models to understand and process the data.

How do we evaluate the performance of NLP models?

Performance is typically evaluated using metrics like accuracy, precision, recall, and F1 score.