Customer Sentiment Analysis System

This paper examines the design, implementation, and technical details of a customer sentiment analysis system based on Artificial Intelligence (AI). The primary goal of this system is to provide businesses with a powerful tool to gain deeper insights into customer emotions in real-time, using this information to improve operational processes, enhance product and service quality, and ultimately increase customer satisfaction and loyalty. Sentiment analysis, an integral part of natural language processing and affective computing, has rapidly evolved to include multimodal data sources such as text, speech, and facial expressions. The system described herein leverages deep learning, computer vision, and natural language processing techniques to deliver real-time emotional insights. By integrating these capabilities, the solution supports data-driven decision-making for customer experience teams and operational stakeholders.

کلیدواژه ها:

Customer Sentiment Analysis ، Deep Learning ، Fuzzy Logic