Abstract We develop SolutionTailor, a novel system that recommends papers that provide diverse solutions for a specific research objective. The proposed system does not require any prior information from a user; it only requires the user to specify the target Read more…
Abstract We present a novel tool that finds the relevance between publication venues to foster opportunities for collaboration development. When a user inputs a publication venue name related to the user’s research field, our tool first shows several relevant publication Read more…
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 Read more…
Abstract Mapping the knowledge structure from word co-occurrences in a collection of academic papers has been widely used to provide insight into the topic evolution in an arbitrary research field. TrendNets is a novel visualization approach that highlights the rapid 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 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 Read more…