Papers by Alexander Denzler

2 papers
Automating Qualitative Data Analysis with Large Language Models (2024.acl-srw)

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Challenge: Existing methods for qualitative data analysis are far from resembling a human's analysis outcome.
Approach: They propose a method based on Large Language Models to tackle automated coding and make it as close as possible to the results of human researchers.
Outcome: The proposed method is based on large language models and can be as close as possible to the results of human researchers.
Text Annotation via Inductive Coding: Comparing Human Experts to LLMs in Qualitative Data Analysis (2025.findings-naacl)

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Challenge: Qualitative data analysis (QDA) is an important research method across fields such as marketing, media studies, social science, psychology, medical research, and others.
Approach: They evaluate the performance of open-source LLMs by comparing them to human experts.
Outcome: The proposed method is based on inductive coding using large language models.

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