Enhancing Sentiment Analysis of Customer Reviews Using Deep Learning, Data Augmentation and Explainable AI

Sentiment analysis of customer reviews is crucial for understanding consumer feedback and improving business strategies in the e-commerce sector. This study proposes an enhanced deep learning framework for sentiment analysis, utilizing Data Augmentation to improve prediction accuracy. Additional layers are integrated into the sentiment analysis model to better differentiate emotions in customer feedback. Furthermore, Explainable AI (XAI) techniques, specifically LIME, enhance transparency and provide clear insights into the model's predictions, thereby increasing trust in the results.