AI RESEARCH
A Comparative Analysis of Classical Machine Learning and Deep Learning Approaches for Sentiment Classification on IMDb Movie Reviews
arXiv CS.CL
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ArXi:2605.07811v1 Announce Type: new This paper presents a comparative study of classical machine learning and deep learning methods for sentiment classification on the IMDb movie reviews dataset. The machine learning pipeline uses TF-IDF features and PyCaret AutoML to evaluate Logistic Regression, Na\"ive Bayes, and Vector Machine, while the deep learning pipeline implements BiLSTM and BiLSTM with an attention mechanism.