EmojiNet

A Machine Readable Sense Inventory for Emoji

Datasets | API | About Us

EmojiNet Project

Emoji is a contemporary, extremely popular way to enhance electronic communications. Without rigid semantics attached to them, an emoji symbol can take on different meanings based on the context of a message. Analogous to the word sense disambiguation task in natural language processing, machines also need to disambiguate the meaning of an emoji or ‘sense’ of an emoji. The goal of this project is to build tools and algorithms to improve machine understanbability of emoji. We built the first machine readable sense inventory for emoji called EmojiNet. Please cite our paper [BibTeX] when using EmojiNet in your research.

Publications

    Sanjaya Wijeratne, Lakshika Balasuriya, Amit Sheth, Derek Doran. EmojiNet: An Open Service and API for Emoji Sense Discovery. In 11th International AAAI Conference on Web and Social Media (ICWSM 2017). Montreal, Canada; 2017. [Kno.e.sis Library Page] | [PDF] | [BibTeX]

  • Sanjaya Wijeratne, Lakshika Balasuriya, Amit Sheth, Derek Doran. EmojiNet: Building a Machine Readable Sense Inventory for Emoji. In 8th International Conference on Social Informatics (SocInfo 2016). Bellevue, WA, USA; 2016. [Kno.e.sis Library Page] | [PDF] | [BibTeX]
  • Sanjaya Wijeratne, Lakshika Balasuriya, Amit Sheth, Derek Doran. EmojiNet: A Machine Readable Emoji Sense Inventory. Wright Brother's Day, Wright State University. Dayton, Ohio, USA; 2016. [Kno.e.sis Library Page] | [Abstract PDF] | [Poster PDF] | [Poster PPT] | [BibTeX]

People


Sanjaya Wijeratne


Lakshika Balasuriya


Amit Sheth


Derek Doran

Contact: sanjaya@knoesis.org

Acknowledgement

We acknowledge Emojipedia and The Emoji Dictionary for allowing us to use their data for the purpose of this research. We acknowledge partial support from the National Institute on Drug Abuse (NIDA) Grant No. 5R01DA039454-02: “Trending: Social Media Analysis to Monitor Cannabis and Synthetic Cannabinoid Use”, National Institutes of Health (NIH) award: MH105384-01A1: “Modeling Social Behavior for Healthcare Utilization in Depression”, and Grant No. 2014-PS-PSN-00006 awarded by the Bureau of Justice Assistance.