23 citations · 75 across the 11 of their papers we have counts for
6 papers · 1 filter
AX-MABSA: A Framework for Extremely Weakly Supervised Multi-label Aspect Based Sentiment Analysis
Sabyasachi Kamila, Walid Magdy, Sourav Dutta +1
Aspect Based Sentiment Analysis is a dominant research area with potential applications in social media analytics, business, finance, and health. Prior works in this area are prima…
Identity Signals in Emoji Do not Influence Perception of Factual Truth on Twitter
Alexander Robertson, Walid Magdy, Sharon Goldwater
Prior work has shown that Twitter users use skin-toned emoji as an act of self-representation to express their racial/ethnic identity. We test whether this signal of identity can i…
Black or White but never neutral: How readers perceive identity from yellow or skin-toned emoji
Alexander Robertson, Walid Magdy, Sharon Goldwater
Research in sociology and linguistics shows that people use language not only to express their own identity but to understand the identity of others. Recent work established a conn…
Analyzing Temporal Relationships between Trending Terms on Twitter and Urban Dictionary Activity
Steven R. Wilson, Walid Magdy, Barbara McGillivray +1
As an online, crowd-sourced, open English-language slang dictionary, the Urban Dictionary platform contains a wealth of opinions, jokes, and definitions of terms, phrases, acronyms…
iSarcasm: A Dataset of Intended Sarcasm
Silviu Oprea, Walid Magdy
We consider the distinction between intended and perceived sarcasm in the context of textual sarcasm detection. The former occurs when an utterance is sarcastic from the perspectiv…
Exploring Author Context for Detecting Intended vs Perceived Sarcasm
Silviu Oprea, Walid Magdy
We investigate the impact of using author context on textual sarcasm detection. We define author context as the embedded representation of their historical posts on Twitter and sug…