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VIPE : un outil interactif de classification multilabel de messages courts
In EGC 2017, vol. RNTI-E-33, pp.485-488
Abstract
In this article, we present VIPE, an interactive tool for visualization and multi-label clas- sification developed at Orange Labs and used for opinion analysis. Based on a fast matrix factorization algorithm, it allows a user to import texts (tweets, emails, surveys, etc...), to de- fine his labels of interest ("satisfied customer", "likes the 4g", etc...) and then it recommends labels for any text and texts for any label.