You are working on an NLP system that needs to extract structure from unstructured text or discover themes in a document collection. Depending on the use case, you may need a supervised sequence labeling approach or an unsupervised topic discovery workflow.
How do you approach named entity recognition or topic modeling?
Choosing between supervised NER and unsupervised topic modelingTokenization choices for domain-specific textPractical preprocessing and model selectionTask-appropriate evaluation, especially F1 for NER