De l'usage réel des emojis à une prédiction de leurs catégories (From Emoji Usage to Emoji-Category Prediction)

From Emoji Usage to Emoji-Category Prediction Emoji usage drastically increased recently, they are becoming some of the most common ways to convey emotions and sentiments in social messaging applications. Several research works proposed to automatically recommend them to avoid having users scrolling down a library of thousands emojis. In order to improve emoji recommendation, we present a method to automatically extract emoji categories from their usage in tweets, following the assumption that emojis are part of written natual language, as words are. Thereby, emotion categories of face emojis were obtained directly from text in a fully reproductible way. These resources and methodology have multiple usages, including enhanced emoji understanding or enhanced emoji recommendation. MOTS-CLÉS : emoji, recommandation, plongements lexicaux, ressource, regroupement.

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