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Quarterly Journal of Emerging Technologies and Innovations

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Published

2023-09-11

Issue

Vol. 8 No. 3 (2023): QJETI-JULY-AUGUST

Section

Articles

How to Cite

Vuong, N. A., & Mai, T. T. (2023). Unveiling the Synergy: Exploring the Intersection of AI and NLP in Redefining Modern Marketing for Enhanced Consumer Engagement and Strategy Optimization. Quarterly Journal of Emerging Technologies and Innovations, 8(3), 103–118. Retrieved from https://vectoral.org/index.php/QJETI/article/view/29

Unveiling the Synergy: Exploring the Intersection of AI and NLP in Redefining Modern Marketing for Enhanced Consumer Engagement and Strategy Optimization

Nguyen Anh Vuong

Department of Computer Science, Hanoi University of Agriculture and Rural Development

Tran Thi Mai

Department of Marketing, Thai Nguyen University of Agriculture and Forestry

Keywords: Artificial Intelligence, Natural Language Processing, Marketing Strategies, Consumer Engagement

Abstract

This research paper embarks on a thorough examination of the intricate convergence between Artificial Intelligence (AI) and Natural Language Processing (NLP) within the contemporary landscape of marketing. The central objective is to provide an in-depth understanding of the fundamental significance attributed to AI and NLP technologies in the transformation of marketing methodologies, the augmentation of consumer interactions, and the streamlining of broader marketing endeavors. Employing an extensive survey of existing scholarly works, meticulous scrutiny of real-world instances, and dialogues with authoritative figures in the field, this paper embarks on an exploration of the disruptive influence of AI and NLP on marketing paradigms and the ensuing ramifications for enterprises. In today's marketing landscape, AI and NLP are catalysts of unprecedented change, fundamentally altering the way businesses perceive, interact with, and cater to their target audiences. This research endeavors to unveil the intricate mechanisms by which these technologies empower marketing professionals to decipher consumer sentiments, predict trends, and customize content with unparalleled precision. By scrutinizing a multitude of case studies and collaborating with industry luminaries, this paper seeks to shed light on the tangible benefits reaped by businesses that have harnessed AI and NLP to forge deeper, more meaningful connections with their clientele. Moreover, this study delves into the ethical considerations and challenges inherent to the adoption of AI and NLP in marketing. It confronts issues related to data privacy, algorithmic biases, and the responsible deployment of these technologies. By fostering a comprehensive understanding of these facets, this research equips marketing practitioners and stakeholders with the knowledge necessary to navigate the evolving marketing landscape effectively and ethically. In sum, this research paper serves as a definitive guide to the transformative impact of AI and NLP in modern marketing, offering valuable insights for businesses striving to remain competitive and relevant in this dynamic domain.

Author Biography

Tran Thi Mai, Department of Marketing, Thai Nguyen University of Agriculture and Forestry

 

 

 

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Submission Guidelines for the Journal of Quarterly Journal of Emerging Technologies and Innovations (QJETI) General Guidelines:

  1. Article Types: We accept a variety of article types including Original Research Articles, Review Papers, Short Reports, and Opinion Pieces.

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  • Introduction: Provide background, state the problem, and outline objectives.

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Published by Vectoral Publishing, the Quarterly Journal of Emerging Technologies and Innovations maintains high standards in peer-review and scientific inquiry. Authors who wish to submit manuscripts should adhere to the guidelines detailed on our website, www.vectoral.org/QJETI. Vectoral Publishing does not bear any responsibility for the accuracy of information or for any outcomes related to the use of the research published. For editorial correspondence and submissions, please reach out to editorial@vectoral.org.