Papers by Dana Calacci

1 papers
QuaLLM: An LLM-based Framework to Extract Quantitative Insights from Online Forums (2025.findings-naacl)

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Challenge: Qualitative and quantitative methods to analyze text data on online forums are infeasible to scale or require significant human effort to translate outputs to human readable forms.
Approach: They propose a novel LLM-based framework to analyze and extract quantitative insights from text data on online forums.
Outcome: The proposed framework analyzes over one million comments from two of Reddit’s rideshare worker communities, marking the largest study of its type.

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