Paper
English
Mar 2020
Improving humanitarian needs assessments through natural language processing
By Tino Kreutzer, Patrick Vinck, Phuong N. Pham, Aijun An, Lora Appel, Eric DeLuca, Grace Tang, Muath Alzghool, Kusum Hachhethu, Bobi Morris, Sandie L. Walton-Ellery, John Crowley, James Orbinski
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.
Natural language processing
Needs assessments
Qualitative data
