D. Abate

A Hybrid Framework for Large-Scale Tweet Sentiment Analysis Using Classical Machine Learning, Transformer Models, and Uncertainty Estimation

The work provides a reproducible, explainable, operationally applicable model of sentiment analysis in operationally sensitive, high-stakes Twitter sentiment analysis, and validate the hypothesis that hybrid stacking is an effective method for leveraging the complementary nature of lexical and contextual representations.