AI-Driven Sentiment Analysis for Consumer Behavior Insights: Exploring Trends in the USA's Digital Market
Keywords:
Sentiment Analysis, Consumer Behavior, Artificial Intelligence, Natural Language Processing, USA Digital Market, E-Commerce, Machine Learning, Social Media.Abstract
This research paper discusses the transformative role of AI-driven sentiment analysis in understanding consumer behavior within the USA's digital market. Sentiment analysis, through the use of advanced natural language processing and machine learning technologies, offers actionable insights into consumer preferences, perceptions, and trends for businesses. The paper explores its applications across industries such as e-commerce, social media, entertainment, healthcare, and finance, highlighting its benefits in enhancing customer insights, personalization, and competitive advantage. It also addresses variabilities in information privacy, aspects of linguistic subtlety, or algorithmic biases-all the way up to current market trends on sentiment analysis with text, image, audio, and video processing, and using explainable AI. Besides, the main focus of their study is on ethical considerations through innovative solutions for sentimental analysis to act as a key result in digital marketing and consumer activities.
