7 citations · 11 across the 4 of their papers we have counts for
3 papers · 1 filter
Evaluating LLM Usage for Efficient and Explainable Numerical and Classified Implicit Sentiment Analysis of Product Desirability
Sherri Weitl-Harms, John Hastings
Qualitative product feedback can reveal nuanced user experiences, but its implicit sentiment is difficult to measure. This paper presents a scalable and interpretable framework tha…
Utilizing Large Language Models to Synthesize Product Desirability Datasets
John D. Hastings, Sherri Weitl-Harms, Joseph Doty +2
This research explores the application of large language models (LLMs) to generate synthetic datasets for Product Desirability Toolkit (PDT) testing, a key component in evaluating…
Using LLMs to Establish Implicit User Sentiment of Software Desirability
Sherri Weitl-Harms, John D. Hastings, Jonah Lum
This study explores the use of LLMs for providing quantitative zero-shot sentiment analysis of implicit software desirability, addressing a critical challenge in product evaluation…