EmojiNet

EmojiNet is the first machine-readable emoji sense inventory which provides English meanings of emoji. Currently, it covers al emoji supported by the Unicode Consortium (2,389 emoji) and lists 12,904 machine-readable emoji sense definitions.

People

Faculty: Amit Sheth, Derek Doran
Graduate Students: Sanjaya Wijeratne, Lakshika Balasuriya

Related Projects

Concurrent Projects

• Innovative NIDA National Early Warning Sysetm Network (iN3)
• Modeling Social Behavior for Healthcare Utilization in Depression
• Context-Aware Harassment Detection on Social Media
• Hazards SEES: Social and Physical Sensing Enabled Decision Support
• Market Driven Innovations and Scaling up of Twitris
• Project Safe Neighborhood: Westwood Partnership to Prevent Juvenile Repeat Offenders
• MIDAS
• Market Driven Innovations and Scaling up of Twitris
• kHealth: Semantic Multisensory Mobile Approach to Personalized Asthma Care

Prior Projects

• PREDOSE: PREscription Drug abuse Online Surveillance and Epidemiology
• SoCS: Social Media Enhanced Organizational Sensemaking in Emergency Response
• Twitris: a System for Collective Social Intelligence

Acknowledgement

We are grateful to Nicole Selken, the designer of The Emoji Dictionary and Jeremy Burge, the founder of Emojipedia for giving us the permission to use their web resources for our research. We are thankful to Scott Duberstein for helping us with setting up Amazon Mechanical Turk tasks. We acknowledge partial support from the National Science Foundation (NSF) award: CNS-1513721: ``Context-Aware Harassment Detection on Social Media, the National Institute on Drug Abuse (NIDA) Grant No. 5R01DA039454-02: ``Trending: Social Media Analysis to Monitor Cannabis and Synthetic Cannabinoid Use and the National Institutes of Mental Health (NIMH) award: 1R01MH105384-01A1: ``Modeling Social Behavior for Healthcare Utilization in Depression. Points of view or opinions in this document are those of the authors and do not necessarily represent the official position or policies of the NSF, NIDA, or NIMH.

News

Common Emoji Mistakes and How to Use Them the Right Way | dlvr.it Blog Article

Contact: Sanjaya Wijeratne