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Sentiment Analysis on Demonetization and rise of Digital Payments using Deep Learning: India

Bharti, Nishant Ajaychand (2023) Sentiment Analysis on Demonetization and rise of Digital Payments using Deep Learning: India. Masters thesis, Dublin, National College of Ireland.

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Due to digital disruption, digital payments have gained appeal in last few years. As e-commerce and digital marketplaces increase, electronic payment processing has become a financial innovation priority. In 2016, the Indian government proclaimed and implemented demonetization. Demonetization is analysed using sentiment and exploratory data. Building a neural network deep learning framework is difficult. This research analyses the top three digital payment systems using a neural network long-short term model and exploratory data. To study public opinion on demonetization, a transitional period leading to the spread of Paytm, PhonePe, and Google Pay till 2021. Satisfactory model accuracy was 82%. Both sentiment analysis and deep learning on payments app data accomplished the goal. The importance of online digital payment systems was shown using python libraries. With the success of this research, machine learning and deep learning converged on sentiment analysis, resulting in the growth of online payment systems in a few years.

Item Type: Thesis (Masters)
Mulwa, Catherine
Subjects: H Social Sciences > HF Commerce
Q Science > QA Mathematics > Electronic computers. Computer science
T Technology > T Technology (General) > Information Technology > Electronic computers. Computer science
P Language and Literature > P Philology. Linguistics > Computational linguistics. Natural language processing
Q Science > Q Science (General) > Self-organizing systems. Conscious automata > Machine learning
Divisions: School of Computing > Master of Science in Data Analytics
Depositing User: Tamara Malone
Date Deposited: 17 May 2023 11:29
Last Modified: 17 May 2023 11:29

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