Amazon Sales Sentiment Prediction and Price Forecasting Using Facebook Prophet

In today’s fast-evolving world, where people’s sentiments have a massive influence on various marketing platforms, it is often overlooked how user reviews impact sales of the product/company. By taking every review as a parameter for inquiring about the company’s value, it is seen that these public reviews can significantly impact sales. Getting accurate predictions can help E-commerce developers make correct decisions in favour of goods to increase their value. In this study, the model designed can predict the public’s sentiments and the sales of the product/company over a specified period. The time-series model is based on Facebook Prophet Library, an open-source library, to forecast the historical data of the brand's sales. Also, the SARIMA model is used for sentiment prediction to fetch desired results.