Comparative study of Sentiment Analysis on Amazon Product Reviews using Recurrent Neural Network (RNN)

The problem of sentiment analysis on Amazon products is addressed in this research. In reality, because opinions are at the center of practically all human activity, sentiment analysis tools are used in almost every economic and social arena. They are also major influencers of our actions. The recurrent neural network (RNN) model is used to classify the product reviews of Amazon in this paper. Furthermore, using this family of models, which is particularly well-suited to the processing of sequential data, we were able to construct comprehensible text from an initial sequence on a character- by-character basis. As a result, we used three Amazon review datasets to estimate the authors' attitudes. As a result, we achieve results of 85% accuracy, and which are comparable to the greatest state-of-the-art models in this area.