Citation

Qianwei, Deng and Wong, Chee Onn and Sitharan, Roopesh (2024) Assessment of Chinese Cultural Influence and Market Potential in Malaysian Chinese-Language Films Based on Big Data Analysis and Predictive Models. International Journal of Intelligent Systems and Applications in Engineering, 12 (6s). pp. 401-414. ISSN 2147-6799

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Abstract

The paper presents a comprehensive investigation into the dynamic interplay of Chinese cultural influence and market potential within the context of Malaysian Chinese-language films. Big data analysis and predictive modeling, the study explores various scenarios to unveil the underlying correlations between cultural elements, market opportunities, and box office success. With integrating Stochastic Gradient Descent (SGD) with Software-Defined Networking (SDN), the research enhances data processing accuracy and efficiency, providing a robust framework for decision-making in the film industry. Through a meticulous analysis of scenarios, the study reveals the intricate relationship between cultural impact and market potential, shedding light on how cultural influence contributes to box office revenue. Additionally, an evaluation of data processing aspects offers insights into optimizing computational strategies. This paper's findings offer valuable insights for film industry stakeholders seeking to navigate the intersection of culture, market dynamics, and datadriven decision-making, ultimately advancing the success of Chinese-language films in the Malaysian market. Our findings underscore the pivotal role of cultural impact in shaping market viability, as evidenced by high correlation coefficients (r > 0.97) between Cultural Influence and Market Potential Score. With a voluminous dataset, the study attains a fine-grained understanding of these films, reaffirming the symbiotic relationship between cultural narratives and box office achievements. Moreover, the research evaluates the practical dimensions of data processing, revealing the computational intricacies encapsulated by Processing Time, Memory Usage, and Input Data Size

Item Type:	Article
Uncontrolled Keywords:	Software Defined Network, Big Data Analytics.
Subjects:	Q Science > QA Mathematics > QA71-90 Instruments and machines T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK5101-6720 Telecommunication. Including telegraphy, telephone, radio, radar, television
Divisions:	Faculty of Creative Multimedia (FCM)
Depositing User:	Ms Nurul Iqtiani Ahmad
Date Deposited:	31 Jan 2024 02:50
Last Modified:	31 Jan 2024 02:50
URII:	http://shdl.mmu.edu.my/id/eprint/12072

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