Visual Sentiment Prediction

Visual Sentiment Prediction is a method that uses computer vision technology to analyze the content of images or videos in order to identify and predict the emotional states they convey. Its aim is to provide a quantitative assessment of the emotional tendencies in visual data through automated sentiment analysis, thereby enhancing the naturalness and intelligence of human-computer interaction. This technology has significant application value in fields such as social media analysis, market research, and intelligent recommendation systems, enabling businesses to better understand user emotions and optimize their products and services more accurately.