EmojiNet: Building a Machine Readable Sense Inventory for Emoji

  title={EmojiNet: Building a Machine Readable Sense Inventory for Emoji},
  author={Sanjaya Wijeratne and Lakshika Balasuriya and Amit P. Sheth and Derek Doran},
  journal={Proceedings. International Workshop on Social Informatics},
Emoji are a contemporary and extremely popular way to enhance electronic communication. Without rigid semantics attached to them, emoji symbols take on different meanings based on the context of a message. Thus, like the word sense disambiguation task in natural language processing, machines also need to disambiguate the meaning or 'sense' of an emoji. In a first step toward achieving this goal, this paper presents EmojiNet, the first machine readable sense inventory for emoji. EmojiNet is a… CONTINUE READING
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