Analyzing tweet data to identify the impact of demonetarization

Unnithan, KS; Salloum, S; Shaalan, K

Abstract

In this century, we have witnessed tremendous growth in the application of technology in our day-to-day life. One such life influencing factor is social media. In a manner or other, each individual’s life is influenced by social media. Individuals and organizations rely more on social media to interact with people, acquire knowledge, promote business, gather information, news telecast, and for many other professional and personal purposes. Researchers use social media as one of the primary data sources for studies related to people’s behavior and for various prediction purposes. This empirical study identifies the importance of social media data in recognizing any event’s influence on the public. In October 2016 Indian government had demonetarized some active currency, and it created mixed reactions in public. For this research, tweet data was used to determine the impact of demonetarization on India’s people. The study results demonstrate that tweet data can be relied on identifying or extracting general public opinions on any given topic or event.

Citation

Unnithan, K., Salloum, S., & Shaalan, K. (2022). Analyzing tweet data to identify the impact of demonetarization. Lecture notes in networks and systems (Online), 2, 75-81. https://doi.org/10.1007/978-3-030-85990-9_7

• Journal Article Type: Conference Paper
• Conference Name: International Conference on Emerging Technologies and Intelligent Systems (ICETIS 2021)
• Conference Location: Online
• End Date: Apr 6, 2021
• Online Publication Date: Dec 3, 2021
• Publication Date: Jan 1, 2022
• Deposit Date: Mar 4, 2022
• Journal: Proceedings of International Conference on Emerging Technologies and Intelligent Systems
• Print ISSN: 2367-3370
• Electronic ISSN: 2367-3389
• Volume: 2
• Pages: 75-81
• Series Title: Lecture Notes in Networks and Systems
• Series Number: 322
• Book Title: Proceedings of International Conference on Emerging Technologies and Intelligent Systems
• ISBN: 9783030859893-(softcover);-9783030859909-(ebook)
• DOI: https://doi.org/10.1007/978-3-030-85990-9_7
• Publisher URL: https://doi.org/10.1007/978-3-030-85990-9_7
• Related Public URLs: https://doi.org/10.1007/978-3-030-85990-9
• Additional Information: Event Type : Conference