EmojiNet: An Open Service and API for Emoji Sense Discovery

@inproceedings{Wijeratne2017EmojiNetAO,
  title={EmojiNet: An Open Service and API for Emoji Sense Discovery},
  author={Sanjaya Wijeratne and Lakshika Balasuriya and Amit P. Sheth and Derek Doran},
  booktitle={ICWSM},
  year={2017}
}
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… CONTINUE READING

10 Figures & Tables

Topics

Statistics

010203020172018
Citations per Year

Citation Velocity: 12

Averaging 12 citations per year over the last 2 years.

Learn more about how we calculate this metric in our FAQ.