A COMPARATIVE STUDY OF CNN-BILSTM AND TF-IDF–NAIVE BAYES FOR SENTIMENT CLASSIFICATION ON MOVIE REVIEWS: PERFORMANCE AND EFFICIENCY TRADE-OFFS
Sentiment analysis on movie reviews has become an important task for understanding public opinion, yet many high-performing deep learning models proposed in the literature rely on increasingly complex architectures such as multichannel embeddings, kernel-based projections, or attention-augmented transformers. This adde...