Revolutionizing Business Sentiment Analysis: Unleashing the Power of Machine Learning for Enhanced Sentiment Classification

This research proposes a feedback system for modern businesses that utilizes text sentiment analysis to analyze customer reviews. Many customers have reported that businesses fail to understand their needs and often sell them products of poor quality or no use. To solve this problem, a smart feedback system is necessary to successfully classify reviews as positive, negative, or neutral. The proposed system consists of an AI/ML algorithm that extracts reviews from Amazon. The algorithm with the highest accuracy may be used to classify customer reviews. The proposed feedback system is advantageous over existing systems in that it is developed using mainstream technologies, easy to use, utilizes artificial intelligence, and can be automated. If deployed as a Software as a Service, the software subscription cost may be affordable and attract many business owners.