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arXiv · 1707.04652

EmojiNet: An Open Service and API for Emoji Sense Discovery

Sanjaya Wijeratne·Lakshika Balasuriya·Amit Sheth·Derek Doran
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Abstract

This paper presents the release of EmojiNet, the largest machine-readable emoji sense inventory that links Unicode emoji representations to their English meanings extracted from the Web. EmojiNet is a dataset consisting of: (i) 12,904 sense labels over 2,389 emoji, which were extracted from the web and linked to machine-readable sense definitions seen in BabelNet, (ii) context words associated with each emoji sense, which are inferred through word embedding models trained over Google News corpus and a Twitter message corpus for each emoji sense definition, and (iii) recognizing discrepancies in the presentation of emoji on different platforms, specification of the most likely platform-based emoji sense for a selected set of emoji. The dataset is hosted as an open service with a REST API and is available at http://emojinet.knoesis.org/. The development of this dataset, evaluation of its quality, and its applications including emoji sense disambiguation and emoji sense similarity are discussed.

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Sanjaya Wijeratne, Lakshika Balasuriya, Amit Sheth, Derek Doran. 2017-07-14. EmojiNet: An Open Service and API for Emoji Sense Discovery. https://arxiv.org/abs/1707.04652

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