Sentimental analysis on English Tweet on Demonetization and Analysis the effect of Demonetization of Digital wallet of India.

Khanvilkar, Sakshi Kishor (2023) Sentimental analysis on English Tweet on Demonetization and Analysis the effect of Demonetization of Digital wallet of India. Masters thesis, Dublin, National College of Ireland.

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Abstract

On November 8th, 2016, the Prime Minister of India declared the demonetization plan India to address the issue related to "black money" and fraudulent notes. This unprecedented move declared 86% of the country's money illegal, explicitly all INR 500- and 1,000-rupee notes. While India is a cash-based economy, the unexpected move caused huge problems, including payment. Several studies have been conducted to analyze the impact of demonetization on digital payments. Despite having different views and opinions, part of the population was strongly offended by the decision. People used various social media platforms to express their worries and points of view, aiding in a borderline conversation about the effectiveness and consequences of this revolutionary act. The effect of demonetization needs to be analyzed to understand how it affected the digital payment system in India and how an individual reacts to such a sudden change in the economy. For sentiment analysis of demonetization tweets, models such as LSTM, CNN, and Naïve Bayes were proposed. Further, the model was compared based on accuracy, recall, and F1 score. The time series analysis was implemented on financial data collected from the database of the Indian economy. To observe the trend of digital payments in India’s later demonetization, models like LSTM and exponential smoothing were implemented. For sentiment analysis, the LSTM model has given better results. The Time Series model namely: LSTM and Exponential Smoothing with lower MSE (mean square error), RMSE (root mean square error), and MAE (mean absolute error) is an optimal model for the prediction of the cashless economy trends in India.

Item Type:	Thesis (Masters)
Supervisors:	Name Email Yaqoob, Abid UNSPECIFIED
Uncontrolled Keywords:	Demonetization; Time series forecasting; LSTM; CNN; Naïve Bayes; Exponential Smoothing
Subjects:	Q Science > QA Mathematics > Electronic computers. Computer science T Technology > T Technology (General) > Information Technology > Electronic computers. Computer science H Social Sciences > Economics Q Science > Q Science (General) > Self-organizing systems. Conscious automata > Machine learning Z Bibliography. Library Science. Information Resources > ZA Information resources > ZA4150 Computer Network Resources > The Internet > World Wide Web > Websites > Online social networks T Technology > TK Electrical engineering. Electronics. Nuclear engineering > Telecommunications > The Internet > World Wide Web > Websites > Online social networks
Divisions:	School of Computing > Master of Science in Data Analytics
Depositing User:	Ciara O'Brien
Date Deposited:	14 May 2025 13:33
Last Modified:	14 May 2025 13:33
URI:	https://norma.ncirl.ie/id/eprint/7547

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