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

Anders Søgaard

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

17 / 17 papers shown

Title
A Survey on Online User Aggression: Content Detection and Behavioral Analysis on Social Media Swapnil S. Mane Suman Kundu Rajesh Sharma 82 0 0 31 Dec 2024
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 Yuhang Zhou Paiheng Xu Xiyao Wang Xuan Lu Ge Gao Wei Ai 65 5 0 22 Jan 2024
Creating and Characterizing a Diverse Corpus of Sarcasm in Dialogue Shereen Oraby Vrindavan Harrison Lena Reed Ernesto Hernandez E. Riloff M. Walker 15 115 0 15 Sep 2017
Learning to Generate Reviews and Discovering Sentiment Alec Radford Rafal Jozefowicz Ilya Sutskever 65 507 0 05 Apr 2017
Are Word Embedding-based Features Useful for Sarcasm Detection? Aditya Joshi Vaibhav Tripathi Kevin Patel P. Bhattacharyya Mark James Carman 27 155 0 04 Oct 2016
emoji2vec: Learning Emoji Representations from their Description Ben Eisner Tim Rocktaschel Isabelle Augenstein Matko Bosnjak Sebastian Riedel SSL 39 290 0 27 Sep 2016
Bag of Tricks for Efficient Text Classification Armand Joulin Edouard Grave Piotr Bojanowski Tomas Mikolov VLM 40 4,596 0 06 Jul 2016
Theano: A Python framework for fast computation of mathematical expressions The Theano Development Team Rami Al-Rfou Guillaume Alain Amjad Almahairi Christof Angermüller ... Kelvin Xu Lijun Xue Li Yao Saizheng Zhang Ying Zhang 69 2,338 0 09 May 2016
A Theoretically Grounded Application of Dropout in Recurrent Neural Networks Y. Gal Zoubin Ghahramani UQCV DRL BDL 75 1,644 0 16 Dec 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 229 149,474 0 22 Dec 2014
Sequence to Sequence Learning with Neural Networks Ilya Sutskever Oriol Vinyals Quoc V. Le AIMat 202 20,467 0 10 Sep 2014
Neural Machine Translation by Jointly Learning to Align and Translate Dzmitry Bahdanau Kyunghyun Cho Yoshua Bengio AIMat 267 27,205 0 01 Sep 2014
DepecheMood: a Lexicon for Emotion Analysis from Crowd-Annotated News Jacopo Staiano Marco Guerini 36 191 0 07 May 2014
Distributed Representations of Words and Phrases and their Compositionality Tomas Mikolov Ilya Sutskever Kai Chen G. Corrado J. Dean NAI OCL 195 33,445 0 16 Oct 2013
DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition Jeff Donahue Yangqing Jia Oriol Vinyals Judy Hoffman Ning Zhang Eric Tzeng Trevor Darrell VLM ObjD 67 4,946 0 06 Oct 2013
Generating Sequences With Recurrent Neural Networks Alex Graves GAN 54 4,025 0 04 Aug 2013