AN INTEGRATED MACHINE LEARNING AND SOCIAL MEDIA MARKETING FRAMEWORK FOR ENHANCED CUSTOMER UNDERSTANDING AND DIGITAL MARKETING EFFICACY

Authors

  • Sanjeev Kumar,Dr. Alok Ranjan Tripathy

Keywords:

Digital Marketing, Social Media Marketing, Machine Learning, Text Mining, WEKA, Customer Understanding, Sentiment Analysis

Abstract

The digital marketing landscape is increasingly driven by data, with social media platformsgenerating vast amounts of unstructured customer data. Understanding this data is critical fororganizations to tailor their strategies effectively. This research proposes a novel framework,Machine Learning-coordinated Social Media Marketing (ML-SMM), to analyze the variables that explain customers' understanding of digital marketing and the associated technologies. Themethodology integrates text mining of social media data

References

Ascarza, E., Neslin, S. A., Netzer, O., Anderson, Z., Fader, P. S., Gupta, S., ... &Schrift, R. (2018). In pursuit of enhanced customer retention management: Review, key issues, and future directions. Customer Needs and Solutions, 5(1-2), 65-81

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Published

2024-10-12

How to Cite

Sanjeev Kumar,Dr. Alok Ranjan Tripathy. (2024). AN INTEGRATED MACHINE LEARNING AND SOCIAL MEDIA MARKETING FRAMEWORK FOR ENHANCED CUSTOMER UNDERSTANDING AND DIGITAL MARKETING EFFICACY. Journal of Computational Analysis and Applications (JoCAAA), 33(08), 8800–8813. Retrieved from https://www.eudoxuspress.com/index.php/pub/article/view/5492

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Articles