A research project comparing Classical ML models, Hybrid LLM-embedding methods, and fine-tuned Transformers for emotion classification. The study evaluates performance on two datasets, song lyrics and GoEmotions, to analyze how model choice and dataset quality impact accuracy and generalization.
deep-learning sentiment-analysis research-project emotion-classification ml-training goemotions hybridmodel llm-finetuning
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Updated
Mar 4, 2026 - Python