Understanding Consumer Sentiment Through AI-Powered Natural Language Processing (NLP)

Abstract

In today’s digitally driven marketplace, consumer sentiment is a critical component in shaping product development, marketing strategies, and customer relationship management. The explosion of user-generated content on social media, forums, and reviews has created vast reservoirs of unstructured data that traditional methods struggle to analyze effectively. Artificial Intelligence (AI), particularly Natural Language Processing (NLP), offers a robust solution for extracting insights from this data. Artificial Intelligence (AI) has revolutionized the way organizations understand their consumers. Among its numerous applications, Natural Language Processing (NLP) plays a pivotal role in extracting sentiment from unstructured data like reviews, social media posts, and feedback surveys. This paper investigates how AI-powered NLP tools are being used to understand consumer sentiment, evaluates the methodologies, explores applications across industries, and addresses the ethical and operational challenges. Through case studies and literature review, the research highlights how sentiment analysis supports data-driven decision-making and forecasts future trends in AI-enhanced consumer analytics.