EMOJINET

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 understandability of emoji. We built the first machine readable sense inventory for emoji called EmojiNet (DEMO). To read more about this project please visit this link... Sanjaya Wijeratne holds a Ph.D. in Computer Science and Engineering from Wright State University. He works on Emoji Understanding and Social Network Analysis Research.

Primary location: Brooklyn United States