AUTOMATIC ANALYSIS OF PRODUCT REVIEW USING COMPUTER VISON TECHNIQUES
International Research Journal of Modernization in Engineering Technology and Science · 2024
In today's competitive market, understanding client feedback is critical for businesses looking to improve their products and services.This study investigates the novel application of computer vision techniques to automatically interpret product reviews, with a focus on the visual content given by customers.Our study uses advanced image processing techniques to glean useful insights from photographs that accompany product reviews.Using image recognition tools, we detect significant features, objects, and emotional cues in these photographs.This computerized analysis enables businesses to acquire a better grasp of client feelings and preferences than textual reviews.Our approach entails training models to recognize specific traits and expressions, allowing for a thorough examination of the visual elements in client feedback.The insights gained from this study can assist organizations in making informed, data-driven decisions to improve product quality, increase customer satisfaction, and better customize their offers to fit consumer wants.The use of computer vision in product review analysis marks a huge step forward in understanding consumer behaviour, providing a more nuanced view of how things are perceived in the market.This study highlights the potential of visual content analysis to drive innovation and create a customer-centric approach to product development and marketing tactics.