Abstract Map images have been published around the world. The management of map data, however, has been an open issue for several research fields, This paper explores an approach for classifying diverse map images by their themes using map content features. Specifically, we present a novel strategy for preprocessing text Read more…
Abstract Emojis have been frequently used to express users’ sentiments, emotions, and feelings in text-based communication. We presented a simple and efficient method for automatically constructing an emoji sentiment lexicon with arbitrary sentiment categories. The proposed method extracts sentiment words from WordNet-Affect and calculates the co-occurrence frequency between the sentiment Read more…
Abstract We propose a novel approach that exploits latent correlations among multiple views: visual and textual views, and a sentiment view constructed using SentiWordNet. In the proposed method, we find a latent embedding space in which correlations among the three views are maximized. The projected features in the latent space Read more…