Large Language Models for Qualitative Analysis
Abstract
LLMs for Qualitative Analysis (L4QA) explores how large language models can support qualitative research while keeping researchers involved in the analytical process. The project brings together multi-agent workflows for Grounded Theory and Sentiment Analysis with an interactive visualisation engine. It aims to make analysis more efficient while keeping outputs transparent and traceable to source evidence. Researchers can inspect findings, review supporting excerpts and guide interpretation, combining automated assistance with human judgement.
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