AI-Powered Customer Feedback Analysis and Sentiment Monitoring for Realtime Business Insights
Year: 2025
Type: article
Abstract: The rapid adoption of Artificial Intelligence (AI) has transformed customer feedback analysis, enabling businesses to track and interpret customer sentiment in real time. This research explores AI-driven sentiment analysis tools, emphasizing machine learning (ML) models and natural language processing (NLP) techniques. By analyzing over 1,500 customer reviews from diverse industries, the study demonstrates AI's ability to detect emotional tones, extract actionable trends, and predict customer behavior. Real-time sentiment monitoring allows businesses to swiftly address negative feedback, enhance customer satisfaction, and optimize marketing strategies. Furthermore, the research highlights ethical considerations, advocating for transparency and fairness in AI-powered sentiment analysis. The findings encourage widespread adoption of AI-driven feedback systems for improved decision-making and competitive advantage in today's dynamic business environment. Keywords: Sentiment Analysis, Customer Feedback, Real-time Insights, Business Strategy, Natural Language Processing.
DOI: 10.55041/ijsrem42513
Author: K Satyanarayana
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: hybrid
OpenAlex ID: W4408489178