Sentiment Analysis of How Turkish Customers Affected by PayPal Closure

Serkan Alici, Ekin Akkol, Can Aydin and Cigdem Tarhan ()
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Serkan Alici: Dokuz Eylul University
Ekin Akkol: Dokuz Eylul University
Can Aydin: Dokuz Eylul University
Cigdem Tarhan: Dokuz Eylul University

A chapter in Economic and Financial Challenges for Balkan and Eastern European Countries, 2020, pp 303-313 from Springer

Abstract: 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.

Keywords: PayPal; Sentiment analysis; Twitter; Machine learning; Turkish tweet; Online payment system (search for similar items in EconPapers)
Date: 2020
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Persistent link: https://EconPapers.repec.org/RePEc:spr:prbchp:978-3-030-39927-6_19

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DOI: 10.1007/978-3-030-39927-6_19

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