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Using millions of emoji occurrences to learn any-domain representations
  for detecting sentiment, emotion and sarcasm

Using millions of emoji occurrences to learn any-domain representations for detecting sentiment, emotion and sarcasm

1 August 2017
Bjarke Felbo
A. Mislove
Anders Søgaard
Iyad Rahwan
Sune Lehmann
ArXivPDFHTML

Papers citing "Using millions of emoji occurrences to learn any-domain representations for detecting sentiment, emotion and sarcasm"

3 / 3 papers shown
Title
A Survey on Online User Aggression: Content Detection and Behavioral Analysis on Social Media
A Survey on Online User Aggression: Content Detection and Behavioral Analysis on Social Media
Swapnil S. Mane
Suman Kundu
Rajesh Sharma
80
0
0
31 Dec 2024
Sentiment-enhanced Graph-based Sarcasm Explanation in Dialogue
Sentiment-enhanced Graph-based Sarcasm Explanation in Dialogue
Kun Ouyang
Liqiang Jing
Xuemeng Song
Meng Liu
Yupeng Hu
Liqiang Nie
118
3
0
06 Feb 2024
Emojis Decoded: Leveraging ChatGPT for Enhanced Understanding in Social Media Communications
Emojis Decoded: Leveraging ChatGPT for Enhanced Understanding in Social Media Communications
Yuhang Zhou
Paiheng Xu
Xiyao Wang
Xuan Lu
Ge Gao
Wei Ai
65
5
0
22 Jan 2024
1