International Journal of Research in Marketing Management and Sales
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P-ISSN: 2663-3329, E-ISSN: 2663-3337
International Journal of Research in Marketing Management and Sales
Printed Journal   |   Refereed Journal   |   Peer Reviewed Journal
2023, Vol. 5, Issue 1, Part A
Sentiment analysis on the brand recall of twitter data with the tool of NCSU tweet sentiment visualization

Manimegalai D and Vishwaa Srinivas V

Social media have gained increased attention in recent years. Social networking platforms are commonly utilised to share and spread opinions on a wide range of subjects, both publicly and privately. Twitter is a social networking platform that is becoming more and more popular. Businesses now have a rapid and effective way to study client opinions on topics that are essential to their marketability via Twitter. A method to computationally measuring customer perceptions is to create a programme for sentiment analysis. This study presents the concept of a sentiment analysis that extracts sentiment from a sizable number of tweets. The results divide consumers' opinions of brand memory via tweets into two categories: pleasant and unpleasant, which are depicted in a matrix and affinity diagram. The research did intend to determine consumer perceptions of brand recall, but due to NCSU's limitations regarding the data that can be pulled from Twitter; this approach will need to be used in conjunction with other social media and e-commerce platforms going forward.
Pages : 48-53 | 577 Views | 238 Downloads


International Journal of Research in Marketing Management and Sales
How to cite this article:
Manimegalai D, Vishwaa Srinivas V. Sentiment analysis on the brand recall of twitter data with the tool of NCSU tweet sentiment visualization. Int J Res Marketing Manage Sales 2023;5(1):48-53. DOI: 10.33545/26633329.2023.v5.i1a.121
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