Gabriel Young
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Biography and Research Information
OverviewAI-generated summary
Gabriel Young's research focuses on the application of machine learning techniques to analyze text data for genre prediction. His work involves utilizing Recurrent Neural Networks (RNNs) and Large Language Models (LLMs) to process video game review data. Young has published on the use of these methods for predicting game genres based on textual content.
Metrics
- Publications: 1
Selected Publications
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Genre Prediction Using RNNs And LLM-Enhanced Video Game Review Data (2026)Journal of the Arkansas Academy of Science OpenAlex
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