Brittany Whiting
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Researcher
Also affiliated: Conway School of Landscape Design (2022)
Graduate Student Researcher
Research Areas
Biography and Research Information
OverviewAI-generated summary
Brittany Whiting's research focuses on the application of machine learning techniques to analyze textual data for predictive modeling. Her recent publication, "Wineinformatics: Comparing and Combining SVM Models Built by Wine Reviews from Robert Parker and Wine Spectator for 95 + Point Wine Prediction," investigates the use of Support Vector Machine (SVM) models to predict highly-rated wines based on reviews from prominent wine critics. This work involved comparing the efficacy of models trained on data from different sources, Robert Parker and Wine Spectator, and exploring methods for combining these models to improve prediction accuracy. Whiting has one publication, with one citation, and an h-index of 1. She has collaborated with Bernard Chen at the University of Central Arkansas on shared publications.
Metrics
- h-index: 1
- Publications: 1
- Citations: 5
Selected Publications
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Wineinformatics: Comparing and Combining SVM Models Built by Wine Reviews from Robert Parker and Wine Spectator for 95 + Point Wine Prediction (2022)
Collaboration Network
Top Collaborators
- Wineinformatics: Comparing and Combining SVM Models Built by Wine Reviews from Robert Parker and Wine Spectator for 95 + Point Wine Prediction
- Wineinformatics: Comparing and Combining SVM Models Built by Wine Reviews from Robert Parker and Wine Spectator for 95 + Point Wine Prediction
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