Wine reviews used to determine the type of wine training on imbalanced data using classification algorithms like SVM, Naive Bayes and Random Forest Classifier. Neural Network (CNN, RNN and LSTM) and LLM models (DistilBERT and RoBERTa) were also used followed by error analysis using SHAP.
text-classification naive-bayes-classifier transfer-learning svm-classifier random-forest-classifier rnn-pytorch shapley-value roberta-model distill-bert llm llm-finetuning
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Updated
Aug 6, 2024 - HTML