Academic article providing an overview of how Natural Language Processing (NLP) can be used to transcribe, translate, and analyze large sets of qualitative responses with a
view to improving the quality and effectiveness of humanitarian assistance. It includes discussion of practical and ethical challenges, and how risks can be anticipated and mitigated.