Published Paper Details:

The general purpose of the study is to classify the comments made on products in e-commerce systems by type using text mining application. As the e-commerce system, Open Cart e-commerce infrastructure was used and the installation steps were explained by installing on the "ecommerce comments store" domain. In particular, the average internet usage in both Turkey and the world for 15 years, including web-based applications has rapidly increased. The quality of the services offered online continues to increase in parallel. In this context, companies have started to use technology and software for their own interests and have taken steps to increase their service quality by interpreting data that will benefit them through methods such as data mining. With this study, the classification process of these comments/evaluations made on the products was carried out using text mining. In this way, big data can be transformed into more meaningful and smaller data and can be used as a faster method to identify users who have problems. Although it seems difficult to examine the interpretations made especially subjectively with this method it was emphasized how this situation can be facilitated by text mining applications