기계학습 모델 기반의 사진으로부터 감성 분석에 관한 연구

다국어 초록 (Multilingual Abstract)

Humans are generally visually dependent animals. Information coming into the eye affects humans the most. Through the development of the Internet, more images are easily accessible through online rather than just experience. Predicting what sensitivity a given image can give users, it can be a little more helpful when users search or categorize images. While more studies have been conducted to predict sensitivity in content as machine learning advances, analysis of which of the machine learning models is effective in predicting emotions has been insufficient. This study is conducted to predict sensitivity based on color information of images, which is visual information. Categorize the 4 representative emotions and crawl the images into one of the four emotions. At this time, through various machine learning, we find the model that best suits each model, and analyze the results of each machine learning model. This finally summarizes whether it is reasonable to analyze images based on color.

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