Emotion Prediction in Amazon Kindle Book Reviews: Leveraging RNN for Sentiment Analysis

This study employs an RNN model to predict sentiment in the Amazon Kindle book review dataset, encompassing numerous texts with marked emotional polarity. After text preprocessing and feature extraction, the RNN model was designed, trained, and validated using this dataset. Results indicate the model's strong performance in emotion analysis, effectively predicting comment sentiments. We assess its robustness with diverse texts and emotions, proposing future enhancements for improved sentiment analysis accuracy. These findings offer crucial insights for applying natural language processing in sentiment analysis.