LLMs achieve Pearson correlations up to 0.97 and 94% classification accuracy on product desirability sentiment from qualitative data, outperforming lexicon and transformer baselines while providing confidence ratings and rationales.
Evaluation of information visualization techniques: analysing user experience with reaction cards
2 Pith papers cite this work. Polarity classification is still indexing.
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Combining overview+detail, aggregation, filtering, linking, and small multiples makes summary polar diagrams clearer and more usable for discovering data relationships.
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Evaluating LLM Usage for Efficient and Explainable Numerical and Classified Implicit Sentiment Analysis of Product Desirability
LLMs achieve Pearson correlations up to 0.97 and 94% classification accuracy on product desirability sentiment from qualitative data, outperforming lexicon and transformer baselines while providing confidence ratings and rationales.
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A Multi-Technique Approach for Improving Summary Polar Diagrams
Combining overview+detail, aggregation, filtering, linking, and small multiples makes summary polar diagrams clearer and more usable for discovering data relationships.