Ambulkar, Sheetal, Saraf, Akshay and Chitare, Neeranjan (2018) Twitter based Analytics for Business Footprints of the Banking Sector in India. International Journal of Engineering & Technology, 7 (4.19). pp. 366-368. ISSN 2227-524X
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Abstract
Twitter is one of the world’s most popular social media platforms with over 330 million users. Many businesses use Twitter to reach and connect with their customers. There are a number of advantages that using twitter can bring to a business. Some of the prominent advantages of tweeter platform to the businesses are the reach to broad spectrum of customers worldwide, delivery of customer services, establishment of brand identity, gathering customer feedback etc. The best part of it is that these advantages are at the free of cost. This paper proposes a system, that can help the banking sector in India, to compare their impression on the general customer by analyzing the tweets by the banking organizations and the replies by their customers The analysis includes the tweet handles by two nationalized banks (State Bank of India and Punjab National Bank) and two private sector banks (ICICI and HDFC).
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | Big data applications, Data mining, Data visualization, Machine learning algorithms, Natural language processing, Sentiment Analysis, Social computing, Social Intelligence, Twitter. |
| Subjects: | G400 Computer Science G500 Information Systems P900 Others in Mass Communications and Documentation |
| Department: | Faculties > Engineering and Environment > Computer and Information Sciences |
| Depositing User: | Elena Carlaw |
| Date Deposited: | 23 Aug 2021 10:15 |
| Last Modified: | 23 Aug 2021 10:30 |
| URI: | http://nrl.northumbria.ac.uk/id/eprint/46966 |
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