MULTI-PLATFORM SENTIMENT ANALYSIS

The study provides an extensive solution of NLP-based sentiment analysis of e-commerce reviews, which is intended to increase the monitoring of brand popularity. The researcher employs the method of sentiment analysis of reviews on Amazon, eBay, and Walmart as platforms to learn about the changes in customer satisfaction and brand perception. The results indicate that sentiment is a critical aspect in brand popularity, and positive sentiments are more dominant in such products as electronics, differing between platforms. For example, Amazon reviews showed the highest positive sentiment at 72%, compared to 65% on eBay and 68% on Walmart. This paper has suggested that e-commerce firms should employ sentiment analysis tools to track customer feedback on various platforms and respond to negative sentiment and turn positive feedback to their own advantage by enhancing their brand image and customer satisfaction. Another key conclusion of the study is the significance of real-time sentiment monitoring to be able to adjust the marketing strategies and stay at a competitive advantage in the market. In addition, NLP and deep learning models, including GPT-3, may be improved to better the sentiment detection and provide a more in-depth insight into customer feelings.