
BD4RH Spring 2022 Reflection
Our Big Data for Reproductive Health Bass Connections team worked on three teams throughout the year and presented their work at the Bass Connections Showcase.
Using Natural Language Processing (NLP) Techniques to examine Stigma with Cervical Cancer in Kenya
Members: Foxx Hart, Lynne Wang, Alexandra Lawerence, and Neha Shrishail
For our project, we utilized topic modeling to identify recurring themes and sentiments in HIV interview data with Kenyan women, as well as develop an understanding of stigma frameworks. This year we were able to learn new technical and project management skills while diving deeper into the emerging interdisciplinary space between quantitative machine learning and qualitative social science research. Due to the many nuances and complexities involved with categorizing stigma, we have concluded that rudimentary NLP is not sufficient for identifying the various forms of stigma in qualitative data. However, we believe that this was a great introduction to applying these methods to an important area in global reproductive health. We hope more research...