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Title: Performing opinion mining and analytical study for cashless transactions

Authors: Sonakshi Vij; Amita Jain; Devendra Tayal

Addresses: Department of CSE, Indira Gandhi Delhi Technical University for Women, India ' Department of CSE, Ambedkar Institute of Advanced Communication Technologies and Research, India ' Department of CSE, Indira Gandhi Delhi Technical University for Women, India

Abstract: Cashless economy and digital payments are one of the hot topics of research that are gaining enormous popularity day by day. It is primarily due to their ability to combat issues of corruption, back money, illegal transactions and counterfeit money. With the increase in number of options of digital payments, people are inclining themselves towards ease of payment. This paper focuses on two aspects: firstly, it provides an analytical study performed in the field of cashless transactions and digital payments. Secondly, it finds out the opinion of the people about cashless transactions using a hybrid approach of type 2 fuzzy logic and hesitant fuzzy sets for polarity assignment. A sentiment analysis on 'cashless economy' has been carried out using data obtained from Twitter in the form of tweets.

Keywords: cashless economy; digital payments; hesitant fuzzy sets; opinion mining; sentiment analysis; type 2 fuzzy logic.

DOI: 10.1504/IJFSE.2019.104712

International Journal of Forensic Software Engineering, 2019 Vol.1 No.1, pp.21 - 31

Received: 30 Jul 2018
Accepted: 15 Dec 2018

Published online: 28 Jan 2020 *

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