40 citations · 126 across the 6 of their papers we have counts for
7 papers
Knowledge will Propel Machine Understanding of Content: Extrapolating from Current Examples
Amit Sheth, Sujan Perera, Sanjaya Wijeratne +1
Machine Learning has been a big success story during the AI resurgence. One particular stand out success relates to learning from a massive amount of data. In spite of early assert…
A Semantics-Based Measure of Emoji Similarity
Sanjaya Wijeratne, Lakshika Balasuriya, Amit Sheth +1
Emoji have grown to become one of the most important forms of communication on the web. With its widespread use, measuring the similarity of emoji has become an important problem f…
EmojiNet: An Open Service and API for Emoji Sense Discovery
Sanjaya Wijeratne, Lakshika Balasuriya, Amit Sheth +1
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 th…
Finding Street Gang Members on Twitter
Lakshika Balasuriya, Sanjaya Wijeratne, Derek Doran +1
Most street gang members use Twitter to intimidate others, to present outrageous images and statements to the world, and to share recent illegal activities. Their tweets may thus b…
Word Embeddings to Enhance Twitter Gang Member Profile Identification
Sanjaya Wijeratne, Lakshika Balasuriya, Derek Doran +1
Gang affiliates have joined the masses who use social media to share thoughts and actions publicly. Interestingly, they use this public medium to express recent illegal actions, to…
EmojiNet: Building a Machine Readable Sense Inventory for Emoji
Sanjaya Wijeratne, Lakshika Balasuriya, Amit Sheth +1
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…