One size fits all: Enhanced zero-shot text classification for patient listening on social media.

ABSTRACT: Patient-focused drug development (PFDD) represents a transformative approach that is reshaping the pharmaceutical landscape by centering on patients throughout the drug development process. Recent advancements in Artificial Intelligence (AI), especially in Natural Language Processing (NLP), have enabled the analysis of vast social media datasets, also called Social Media Listening (SML), providing insights not only into patient perspectives but also into those of other interest groups such as caregivers. In this method study, we propose an NLP framework that-given a particular disease-is designed to extract pertinent information related to three primary research topics: identification of interest groups, understanding of challenges, and assessing treatments and support systems. Leveraging

SUBMITTER: Matoshi V 

PROVIDER: S-EPMC11850375 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature