Leveraging Sentiment Analysis via Text Mining to Improve Customer Satisfaction in UK Banks

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

Original language	English
Journal	International Journal of Bank Marketing
Publication status	Accepted/In press - 5 Nov 2024

Cite this

@article{c8cb1b9788724392aa4e0ceff20f67a4,

title = "Leveraging Sentiment Analysis via Text Mining to Improve Customer Satisfaction in UK Banks",

author = "Amir Ghadiridehkordi and Jia Shao and Roshan Boojihawon and Qianxi Wang and Hui Li",

year = "2024",

month = nov,

day = "5",

language = "English",

journal = "International Journal of Bank Marketing",

issn = "0265-2323",

publisher = "Emerald",

}

TY - JOUR

T1 - Leveraging Sentiment Analysis via Text Mining to Improve Customer Satisfaction in UK Banks

AU - Ghadiridehkordi, Amir

AU - Shao, Jia

AU - Boojihawon, Roshan

AU - Wang, Qianxi

AU - Li, Hui

PY - 2024/11/5

Y1 - 2024/11/5

UR - https://www.emerald.com/insight/publication/issn/0265-2323

M3 - Article

SN - 0265-2323

JO - International Journal of Bank Marketing

JF - International Journal of Bank Marketing

ER -