چکیده مقاله
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
کلیدواژهها
نویسندگان
Amir Mohammad Moradi
Ayandegan University
Kian Mehrpour
Amir Mohammad Moradi Ayandegan UniversityArta Heshmati PourMatin AsadiElyad Mashhadyan
Arta Heshmati Pour
Amir Mohammad Moradi Ayandegan UniversityKian MehrpourMatin AsadiElyad Mashhadyan
Matin Asadi
Amir Mohammad Moradi Ayandegan UniversityKian MehrpourArta Heshmati PourElyad Mashhadyan
Elyad Mashhadyan
Amir Mohammad Moradi Ayandegan UniversityKian MehrpourArta Heshmati PourMatin Asadi
شیوه ارجاع
Moradi, Amir Mohammad and Mehrpour, Kian and Heshmati Pour, Arta and Asadi, Matin and Mashhadyan, Elyad,1404,Customer Sentiment Analysis System,The 6th international conference on artificial intelligence and its future prospects in electrical, computer, mechanical and telecommunication engineering sciences.,Mashhad
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مجموعه مقالات ششمین کنفرانس بین المللی هوش مصنوعی و چشم انداز آینده آن در علوم مهندسی برق ، کامپیوتر ، مکانیک و مخابرات20 اردیبهشت 1404 · مشهد