Artificial Intelligence and Mathematical Modelling-Based Techniques to Improve Social Media Marketing
- 1 Department of Commerce, Shivaji College, University of Delhi, New Delhi, India
- 2 Department of Marketing, Alasala College, Dammam, Saudi Arabia
- 3 Department of Artificial Intelligence and Machine Learning, New Delhi Institute of Management, New Delhi, India
- 4 Department of Computer Science, Jamia Millia Islamia, New Delhi, India
- 5 Department of Commerce, Kirori Mal College, University of Delhi, New Delhi, India
Abstract
The Businessperson is using social media to do marketing of their product. Almost all people use social media. Most people relate to social media. Social media marketing is beneficial in making the product more popular and easy ways to introduce the product to everyone in economical ways. In this study, we introduce the concept of machine learning and mathematical models to enhance social media marketing for the product. We have used the concept of data analytics in this study to analyze social media data and based on the outcome of the analytics result, we developed strategies for marketing the product. The Bayesian Regularization (BR) Model has achieved the highest accuracy of 93% and the Root mean squire error is as low as 1.2 approximately in decision tree regression (DTR). The Area Under The Curve (AUC) of the model is .57. The model will be beneficial to improving social media marketing. The business personnel will benefit from marketing products on social media networks.
DOI: https://doi.org/10.3844/jcssp.2025.78.87
Copyright: © 2025 Kiran Chaudhary, Mohammad Naquibur Rahman, Nabeela Hasan, Mansaf Alam and Aakash Punit. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
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Keywords
- Artificial Intelligence
- Social Media Marketing
- Machine Learning
- Mathematical Modeling
- Data Analytics