Amazon review classification and sentimental analysis on mobile products with R

Start in today’s time; e-commerce has been growing steadily over the years. Due to the variation of online choices, small prices, and fast sourcing organizations, it has become fashionable to buy products, for most people want to shop online. Meanwhile, the quantity and distribution of goods are unequal, and counterfeit branded products are distributed. We review the product as a dataset at Amazon retailers for customer reviews and rank the review text from Objectivity or Fairness and Negative or Positive buyer perspective. These reviews help somewhat, and they promise buyers and manufacturers of products. In this study, we will analyze the basics of specific, positive, and negative production approach.