Authors :
Dr. Samta Suman Lodhi; Divya Singh
Volume/Issue :
RISEM–2025
Google Scholar :
https://tinyurl.com/3huyt2kw
Scribd :
https://tinyurl.com/4r2vbja9
DOI :
https://doi.org/10.38124/ijisrt/25jul615
Abstract :
In the era of digital transformation, Artificial Intelligence (AI) has emerged as a powerful enabler in decoding
and responding to consumer sentiment. With an unprecedented surge in user-generated content across social media, e-
commerce platforms, blogs, forums, and review websites, businesses face both a challenge and an opportunity: how to
understand vast volumes of consumer opinions in real time. Traditional methods of sentiment tracking often fall short due
to their inability to scale, comprehend linguistic nuances, and adapt to rapidly evolving consumer language. AI, with its
capacity for advanced data processing and pattern recognition, provides sophisticated solutions in the realm of sentiment
analysis, empowering organizations to understand public opinion, anticipate trends, and craft responsive brand strategies.
This paper explores the multifaceted role of AI in transforming sentiment analysis and brand management. It delves into
the cutting-edge technologies that underpin AI-driven sentiment analysis, including Natural Language Processing (NLP),
machine learning (ML), and neural networks. It further outlines how businesses across various sectors utilize these tools
for real-time sentiment monitoring, reputation management, campaign optimization, and customer engagement.
Moreover, the paper addresses the technical and ethical challenges faced in AI implementation, such as linguistic
ambiguity, algorithmic bias, and data privacy. Finally, it projects future trends such as multimodal sentiment analysis and
the rise of emotionally intelligent AI systems. Through this exploration, we aim to provide a comprehensive understanding
of how AI is reshaping brand-consumer dynamics in the digital age.
Keywords :
AI Techniques, Machine Learning, Digital Platforms and Predictive Analysis.
In the era of digital transformation, Artificial Intelligence (AI) has emerged as a powerful enabler in decoding
and responding to consumer sentiment. With an unprecedented surge in user-generated content across social media, e-
commerce platforms, blogs, forums, and review websites, businesses face both a challenge and an opportunity: how to
understand vast volumes of consumer opinions in real time. Traditional methods of sentiment tracking often fall short due
to their inability to scale, comprehend linguistic nuances, and adapt to rapidly evolving consumer language. AI, with its
capacity for advanced data processing and pattern recognition, provides sophisticated solutions in the realm of sentiment
analysis, empowering organizations to understand public opinion, anticipate trends, and craft responsive brand strategies.
This paper explores the multifaceted role of AI in transforming sentiment analysis and brand management. It delves into
the cutting-edge technologies that underpin AI-driven sentiment analysis, including Natural Language Processing (NLP),
machine learning (ML), and neural networks. It further outlines how businesses across various sectors utilize these tools
for real-time sentiment monitoring, reputation management, campaign optimization, and customer engagement.
Moreover, the paper addresses the technical and ethical challenges faced in AI implementation, such as linguistic
ambiguity, algorithmic bias, and data privacy. Finally, it projects future trends such as multimodal sentiment analysis and
the rise of emotionally intelligent AI systems. Through this exploration, we aim to provide a comprehensive understanding
of how AI is reshaping brand-consumer dynamics in the digital age.
Keywords :
AI Techniques, Machine Learning, Digital Platforms and Predictive Analysis.
