Abstract
Abstract: Online shopping is routine in day-to-day life, and the preponderance of products at home is mostly from online shopping. But we can’t test or check the quality of products in online shopping. In those circumstances, product reviews play a vital role in purchasers purchasing a product. Sentiment analysis of the product makes the customer identify the best quality product effortlessly and gives perfect decision-making for the product choice. However, people across countries who speak different languages might find it arduous to analyze the situation. We proposed a solution in which we can do both language identification, translation, and analysis of the text review data. Using a Google Language translator, we can identify and translate the language to any destination language that we want to analyze the text. VADER makes that analysis and gives us the best result for the product reviews. The experimental results of the proposed solutions were well-defined and established in sentiment analysis tasks.
Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
