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This paper presents the release of EmojiNet, the largest machine-readableemoji sense inventory that links Unicode emoji representations to their Englishmeanings 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 andlinked to machine-readable sense definitions seen in BabelNet, (ii) contextwords associated with each emoji sense, which are inferred through wordembedding models trained over Google News corpus and a Twitter message corpusfor each emoji sense definition, and (iii) recognizing discrepancies in thepresentation of emoji on different platforms, specification of the most likelyplatform-based emoji sense for a selected set of emoji. The dataset is hostedas an open service with a REST API and is available athttp://emojinet.knoesis.org/. The development of this dataset, evaluation ofits quality, and its applications including emoji sense disambiguation andemoji sense similarity are discussed.

EmojiNet: An Open Service and API for Emoji Sense Discovery