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AI / ML
Sentiment Analysis
Comparative analysis of VADER vs RoBERTa for sentiment classification on Amazon product reviews.
2024
PythonHugging FaceRoBERTaNLTKpandasseaborn
About This Project
A comparative analysis of sentiment analysis techniques on the Amazon Fine Food Reviews dataset. Implements two distinct approaches: VADER (a lexicon-based method) and RoBERTa (a transformer-based deep learning model). The project contrasts a Bag of Words approach against context-aware neural models to demonstrate how linguistic understanding affects sentiment classification accuracy on real-world review data.
NLPSentiment AnalysisTransformersVADER
