You're working on a basic NLP pipeline where you need to turn raw text into numeric features for a downstream model. A common option is TF-IDF, especially when you want a simple and interpretable representation.
What is TF-IDF and when would you use it?
Understanding of TF-IDF weightingBasic tokenization and feature extraction choicesWhen sparse lexical features are appropriate for text classification