Abstract
In this study, sentiment analysis is realized about PayPal activities from 2016 till today. Twitter is one of the easiest ways to share opinions via texting, and there are approximately 20 million Twitter users in Turkey. The data set is obtained from Twitter. The Twitter messages in Turkish were manually obtained from the Internet because of being expensive of old tweet data. The data has been passed through the preprocessing, attribute selection and classification stages. At the end of these processes, the data is analyzed using various text mining algorithms, so the success rates achieved are compared and interpreted. Moreover, starting from the PayPal closure, the Web traffic of other Web sites (3pay.com, bkmepress.com.tr, enpara.com, ininal.com, ipara.com.tr, iyzico.com, papara.com, payu.com.tr, troyodeme.com) operating in Turkey was obtained in the same industry with PayPal. This paper also addressed how these companies were affected by this period.
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