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Recently, with the increasing of users and activities in social network service, an image sentiment analysis has been an important keyword for psychological study and commercial marketing. To recognize accurately user's sentiments of the image, it is essential to identify discriminative visual features and then conduct analysis based on observed features. In this paper, we propose two hand-designed...
Recently, many efforts have been spent on observing individual's psychological states through analyzing users' social activities on SNS. In this paper, we propose a novel method for identifying the users with depressive moods by analyzing their daily tweets for a long period of time. Then, for more accurately understand their tweets, we exploit all media types of tweets, i.e., images and emoticons...
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