Deep Learning Approaches for Sentiment Analysis: Comparative results

Sentiment analysis is an indispensable tool with which to extract valuable knowledge from user-generated textual content, especially in the rapidly changing world of e-commerce. Sentiment analysis applied to Amazon reviews This research explored the use of several deep learning models, including Convolutional Neural Networks, Long Short-Term Memory networks and Bidirectional LSTMs. Focusing on rigorous evaluation metrics-accuracy, precision, recall and F1 score - the study attempts to find out the best model for distinguishing sentiments found in Amazon reviews. This research pushes the methodology beyond traditional lecture format, adding data augmentation and ensemble methods as well multiple types of optimizers. The results of this study not only enhance the methods usedin sentiment analysis, but also indicate practical things that are important to e-commerce.