You are starting an NLP project where you need to turn raw text into a useful model for a product or internal workflow. You need a practical plan that covers how you define the task, prepare text data, choose representations, train a model, and measure whether it is working.
How would you approach a project involving natural language processing?
How you frame an NLP problem as a concrete taskHow you handle tokenization and text preprocessingHow you use TF-IDF as a baseline for text classificationHow you choose evaluation metrics such as macro F1