A Threshold-Optimized Hybrid Ensemble for imbalanced Aspect-Based Sentiment Analysis of Restaurant Reviews
A hybrid lexical-probabilistic ensemble system that combines SentiWordNet lexical resources with a dual-branch Naïve Bayes ensemble, using Multinomial Naïve Bayes for text features and Gaussian Naïve Bayes for continuous lexical sentiment features, to enhance accuracy across five restaurant aspects.