Sentiment Analysis of Customer Feedback on Services Provided on Selected Banks’ Mobile Banking Applications in Nigeria

This study examines customer feedback on mobile banking applications for Access Bank, UBA Bank, and First Bank in Nigeria using sentiment analysis. By analyzing user reviews from the Google Play Store, the research identifies key themes and sentiments, positive, neutral, and negative, using Support Vector Machine (SVM) classifiers. Results show Access Bank had the highest positive sentiment (74.1%), followed by UBA Bank (66.5%) and First Bank (48.3%). Negative feedback was highest for First Bank (45.4%), pointing to significant usability issues. Common positive themes included ease of use, reliability, and security, while negative comments highlighted technical glitches, poor customer support, and transaction failures. The findings suggest improvements in technical performance, authentication processes, and customer service could enhance user satisfaction. Regular sentiment monitoring is crucial for maintaining user trust and competitiveness in Nigeria’s mobile banking sector.

Authors

Publication Details

Journal
Asian Journal of Research in Computer Science
Published
2025-04-21
DOI
https://doi.org/10.9734/ajrcos/2025/v18i5647
Primary Topic
Digital Marketing and Social Media
Type
article
Field-Weighted Citation Impact
0.00
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article

Sentiment Analysis of Customer Feedback on Services Provided on Selected Banks’ Mobile Banking Applications in Nigeria

Uzodinma C. Onwuchekwa, Emmanuel C. Ogu
Asian Journal of Research in Computer Science
Digital Marketing and Social Media
article

Sentiment Analysis of Customer Feedback on Services Provided on Selected Banks’ Mobile Banking Applications in Nigeria

Uzodinma C. Onwuchekwa, Emmanuel C. Ogu
article en

Abstract

This study examines customer feedback on mobile banking applications for Access Bank, UBA Bank, and First Bank in Nigeria using sentiment analysis. By analyzing user reviews from the Google Play Store, the research identifies key themes and sentiments, positive, neutral, and negative, using Support Vector Machine (SVM) classifiers. Results show Access Bank had the highest positive sentiment (74.1%), followed by UBA Bank (66.5%) and First Bank (48.3%). Negative feedback was highest for First Bank (45.4%), pointing to significant usability issues. Common positive themes included ease of use, reliability, and security, while negative comments highlighted technical glitches, poor customer support, and transaction failures. The findings suggest improvements in technical performance, authentication processes, and customer service could enhance user satisfaction. Regular sentiment monitoring is crucial for maintaining user trust and competitiveness in Nigeria’s mobile banking sector.

Asian Journal of Research in Computer ScienceVol. 18(5)
Openalex Percentile: Top 90%
Digital Marketing and Social Media
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