Description

Information is becoming increasingly available in the form of unstructured data, such as textual materials and visual media. This information represents a decisive driver in electronic commerce, since products are advertised through their descriptions. Recent advances in information technology allow one to analyze these descriptions in a computerized fashion; however, the opposite is true for visual information. There is a dearth of methods by which to interpret images and understand how they are used in decision-making. We propose a prediction based approach to infer the sentiment of images. In our case, we utilize images from real estate listings and predict the corresponding rent price. We succeed in this task by outperforming the naive baseline by up to 62.96%. Our method is thus capable of extracting visual cues in order to reveal the perception of images. This research is of potential value to operators of e-commerce or recommender systems optimizing the presentation of products and services.

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Understanding Consumer Behavior in Electronic Commerce with Image Sentiment

Information is becoming increasingly available in the form of unstructured data, such as textual materials and visual media. This information represents a decisive driver in electronic commerce, since products are advertised through their descriptions. Recent advances in information technology allow one to analyze these descriptions in a computerized fashion; however, the opposite is true for visual information. There is a dearth of methods by which to interpret images and understand how they are used in decision-making. We propose a prediction based approach to infer the sentiment of images. In our case, we utilize images from real estate listings and predict the corresponding rent price. We succeed in this task by outperforming the naive baseline by up to 62.96%. Our method is thus capable of extracting visual cues in order to reveal the perception of images. This research is of potential value to operators of e-commerce or recommender systems optimizing the presentation of products and services.