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Found 6 papers, 1 papers with code
A Quality Type-aware Annotated Corpus and Lexicon for Harassment Research
In this paper, we publish first, a quality annotated corpus and second, an offensive words lexicon capturing different types type of harassment as (i) sexual harassment, (ii) racial harassment, (iii) appearance-related harassment, (iv) intellectual harassment, and (v) political harassment. We crawled data from Twitter using our offensive lexicon.
A Semantics-Based Measure of Emoji Similarity
This paper presents a comprehensive analysis of the semantic similarity of emoji through embedding models that are learned over machine-readable emoji meanings in the EmojiNet knowledge base.
EmojiNet: An Open Service and API for Emoji Sense Discovery
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.
Finding Street Gang Members on Twitter
A review of these profiles establishes differences in the language, images, YouTube links, and emojis gang members use compared to the rest of the Twitter population.
Word Embeddings to Enhance Twitter Gang Member Profile Identification
Gang affiliates have joined the masses who use social media to share thoughts and actions publicly.
EmojiNet: Building a Machine Readable Sense Inventory for Emoji
It is automatically constructed by integrating multiple emoji resources with BabelNet, which is the most comprehensive multilingual sense inventory available to date.
