Vol.12, No.1, February 2023.                                                                                                                                                                              ISSN: 2217-8309

                                                                                                                                                                                                                        eISSN: 2217-8333


TEM Journal



Association for Information Communication Technology Education and Science

Factors Affecting Customer Satisfaction with The Telecommunication Industry in Saudi Arabia


Nora Almuhanna, Zahyah H. Alharbi


© 2023 Zahyah H. Alharbi , published by UIKTEN. This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License. (CC BY-NC-ND 4.0)


Citation Information: TEM Journal. Volume 12, Issue 1, Pages 424-433, ISSN 2217-8309, DOI: 10.18421/TEM121-52, February 2023.


Received: : 09 October 2022.

Revised:   11 December 2022.
Accepted:  25 January 2023.
Published: 27 February 2023.




Telecommunications is a customer-oriented industry in which client satisfaction is crucial for an organization's survival. Social media plays a vital role in customer decisions, acting as both a search tool and a communication channel. On social media platforms, customers can air their grievances, and a company can use these complaints to improve its products and services. During the first quarter of 2022, sentiment analysis was conducted to evaluate customer satisfaction with telecom services in Saudi Arabia. With a machine-learning approach, more than 90K comments were recorded and categorized as positive, negative, or neutral. For the classification, we utilised a support vector machine (SVM) model with an average accuracy of 88%. After that, We utilised thematic analysis of social engagement opinions. We identified seven themes among the comments related to factors affecting efficiency and satisfaction with telecommunications services: product, package, price, promotion, place, people, and public relations. In conclusion, we recommend some solutions to improve efficiency and increase customer satisfaction in the telecom sector.


Keywords –telecom services; SVM; sentiment classification; sentiment analysis; machine learning.



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