Sentiment Analysis in Online Products Reviews Using Machine Learning

Abstract

Online Shopping is a phenomenon that is growing rapidly. It refers to the act of buying and selling products or services over the internet. Since customers are shopping online, there are some problems with this process. Firstly, is that customers can fall into fraud and security concerns as there is an inability to inspect the goods that you are purchasing beforehand. There is also the other issue on the quality of the product, this is because when selling online, only simple pictures and or descriptions of the product are all a customer can rely on when purchasing. There is also another factor customer can look at before purchasing a product and those are reviews left by previous customers that have purchased the same product from the same seller. Reviews are left by a consumer that has experienced or purchased a product from the store. Thus, by reading the reviews of a product, the new customer can see whether people liked the product or not, or to see if the product that was delivered was the promised product by the store. With the help of Machine Learning Techniques, the researcher can then try to find the best technique that can be used for Sentiment Analysis on Online Product Reviews.