Open Ended Response

Open-ended response analysis focuses on understanding and evaluating free-form text answers, a challenging task due to the inherent diversity and subjectivity of such responses. Current research heavily utilizes large language models (LLMs), often coupled with techniques like the analytic hierarchy process (AHP) for scoring or prompt engineering to improve alignment with human judgment, to analyze these responses across various applications, including education, automated insight generation, and social media analysis. This research is crucial for improving automated feedback systems, enhancing human-computer interaction, and ensuring data quality in online surveys and other applications relying on open-ended data collection.