 Customer sentiment towards freebies in telecom sector: a social media mining approachSuhel Ahmad, Alpana Srivastava and Seema Sharma International Journal of Business Information Systems, 2021, vol. 38, issue 2, 240-253 Abstract: Organisations rely heavily on social media for inferring customer's feedback and sentiments associated with their products or services. This study, using social media data and aims to find the sentiments associated with 'JIO', a new entrant among Indian cellular service providers. They initially offered all the services for free (freebies) to attract subscribers. Tweets were analysed using text mining techniques and 'R' statistical tool. The findings reveal that, despite 23% users of 'JIO' having a negative sentiment, the customer-base of service provider is continuously increasing, suggesting high inclination towards freebies. Further, some service parameters were negatively mentioned, pointing towards the need for improvement. The presence of a system bug was identified, of which the service provider was unaware otherwise. Future prospects include sentiment analysis of customers from other platforms. This is an independent work, conducted utilising text mining and results could be implemented to monitor and upgrade service quality. Keywords: JIO; sentiment; Twitter; analytics; freebies; telecom; data mining; text mining. (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:ids:ijbisy:v:38:y:2021:i:2:p:240-253 Access Statistics for this article More articles in International Journal of Business Information Systems from Inderscience Enterprises Ltd |
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