Comparative Analysis of LSTM and RNN for Sentiment Classification of Amazon Reviews
Published:Jan 6, 2026 02:54
•1 min read
•Qiita DL
Analysis
The article presents a practical comparison of RNN and LSTM models for sentiment analysis, a common task in NLP. While valuable for beginners, it lacks depth in exploring advanced techniques like attention mechanisms or pre-trained embeddings. The analysis could benefit from a more rigorous evaluation, including statistical significance testing and comparison against benchmark models.
Key Takeaways
Reference
“この記事では、Amazonレビューのテキストデータを使って レビューがポジティブかネガティブかを分類する二値分類タスクを実装しました。”