Abstract
The research explores the use of sentimental analysis and natural language processing (NLP) in e-commerce applications to enhance customer experience. It identifies a positive correlation between customer reviews and products, overcoming previous limitations in language training and customer loyalty. The study aims to increase e-commerce business sales by 15.4%, resulting in a 15% increase in business profit and a 1% increase in positive recommendations. The study underscores the potential of these technologies in enhancing consumer satisfaction, brand loyalty, and e-commerce performance.
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