Manual coding of open-ended survey responses is a labor-intensive, error-prone task. Discover how AI transformer models like text embeddings and large language models (LLMs) can automate and enhance the analysis of open-ends. This presentation compares these advanced methods with manual coding and traditional techniques, highlighting their strengths in understanding context and semantics. Attendees will gain practical expertise for integrating these technologies into their analysis of open-ends, and a clear grasp of their benefits and limitations.
