SPONSORED SESSION PRESENTED BY STRIPE PARTNERS

The tools from the field of Natural Language Processing (NLP) enable the analysis of vast datasets of unstructured text at scale, helping to uncover patterns that would otherwise be difficult to extract manually. In this talk, Stripe Partners demonstrates how they integrate NLP and qualitative research. It highlights the benefits and limitations of its application to complementary, user-generated multimodal content in concert with ethnographic work streams. They also share detailed project examples from healthcare and finance to highlight best practices for collaboration across mixed-methods, focusing on areas where the disciplines together can deliver rich outcomes across breadth and depth.

Speakers

Dr. Iman Bilal is the lead NLP researcher for Stripe Partners and works on projects involving signal scanning and language modelling of real-world data. Iman finished her PhD in Computer Science from the University of Warwick where her doctoral work tackled understanding opinions at scale using generative methods from NLP and Machine Learning.

Noémi Cassin is a qualitative researcher and consultant at Stripe Partners. She works across industries, with a particular focus on healthcare informed by her interests and academic background in biomedical sciences and medical anthropology. She has prior experience using mixed methods for social listening and marketing insights.