Recommending the Best Product Based on User Requirements Using Opinion Mining

Today's modern technologies have paved the way for multi-functional devices like smart refrigerators, washing machines, watches, mobiles, and computers, etc., which are available at a wide range of cost leads to the development of faster, portable, and larger capacity products than ever before. Selecting the best performance and cost-effectiveness in the given budget is a time-consuming task for the client. Today, customers do not rely solely on print and communication media, they also surf the Internet, and they may be misled by the rating and end up with dissatisfaction. Through our application, the customer requirements are collected and then the best electronic product among these multiple brands will be recommended by applying the analysis on the collected feedback data. The proposed model is derived by using the logistic regression algorithm for sentiment analysis that is classifying the possibility of number of positive and negative reviews in a given dataset.