A New Approach of AI-Driven Social Media Analytics to Promote eCommerce
Author : Lt Dr. S Babu and R Deepika
Abstract :
This paper presents a top to bottom investigation of man-made intelligence driven virtual entertainment examination with regards to online business promoting. It examines how AI technologies like machine learning, natural language processing, and predictive analytics are transforming the process of deciphering intricate consumer data on social media platforms. The study systematically examines targeted advertising, influencer marketing, and dynamic content creation as eCommerce advertising strategies, focusing on their evolution and integration with AI. It also addresses the difficulties and limitations of AI implementation, such as technical obstacles, concerns about data accuracy, and ethical considerations. The paper goes on to talk about the implications of these findings for researchers and practitioners alike, focusing on the need to use new technologies and use ethical data practices. Closing with a future viewpoint, it highlights the potential development regions in artificial intelligence and online entertainment coordination in Web based business, proposing bearings for future exploration in this quickly developing field. The goal of this in-depth analysis is to provide useful information that can help businesses succeed in the digital marketplace and increase customer engagement.
Keywords :
Artificial Intelligence, Social Media Analytics, eCommerce Advertising, Machine Learning, Predictive Analytics, Natural Language Processing, Consumer Behaviour etc.
