Fetching the paper…
Reading the bibliography…
In this paper, we propose Emo2Vec which encodes emotional semantics into vectors.
A joint many-task model: Growing a neural network for multiple nlp tasks
Kazuma Hashimoto, Yoshimasa Tsuruoka, Richard Socher, et al. 2017 · 1933
Earlier work this paper cites.
How universal and specific is emotional experience? evidence from 27 countries on five continents
Harald G. Wallbott and Klaus R. Scherer. 1986 · 1986
Earlier work this paper cites.
Emotion knowledge: Further exploration of a prototype approach
Phillip Shaver, Judith Schwartz, Donald Kirson, and Cary O’connor. 1987 · 1987
Earlier work this paper cites.
Gradient-based learning applied to document recognition
Yann LeCun, Léon Bottou, Yoshua Bengio, and Patrick Haffner. 1998 · 1998
Earlier work this paper cites.
Linguistic styles: Language use as an individual difference
James W Pennebaker and Laura A King. 1999 · 1999
Earlier work this paper cites.
Rectified linear units improve restricted boltzmann machines
Vinod Nair and Geoffrey E Hinton. 2010 · 2010
Earlier work this paper cites.
Sentiment strength detection in short informal text
Mike Thelwall, Kevan Buckley, Georgios Paltoglou, Di Cai, and Arvid Kappas. 2010 · 2010
Earlier work this paper cites.
Natural language processing (almost) from scratch
Ronan Collobert, Jason Weston, Léon Bottou, Michael Karlen, Koray Kavukcuoglu, and Pavel Kuksa. 2011 · 2011
Earlier work this paper cites.
Harnessing twitter” big data” for automatic emotion identification
Wenbo Wang, Lu Chen, Krishnaprasad Thirunarayan, and Amit P. Sheth. 2012 · 2012
Earlier work this paper cites.
Opener: Open polarity enhanced named entity recognition
Rodrigo Agerri, Montse Cuadros, Sean Gaines, and German Rigau. 2013 · 2013
Earlier work this paper cites.
Semeval-2013 task 2: Sentiment analysis in twitter
J Hltcoe. 2013 · 2013
Earlier work this paper cites.
Distributed representations of words and phrases and their compositionality
Tomas Mikolov, Ilya Sutskever, Kai Chen, Greg S. Corrado, and Jeff Dean. 2013 · 2013
Earlier work this paper cites.
Fine-grained emotion recognition in olympic tweets based on human computation
Valentina Sintsova, Claudiu-Cristian Musat, and Pearl Pu. 2013 · 2013
Earlier work this paper cites.
Recursive deep models for semantic compositionality over a sentiment treebank
Richard Socher, Alex Perelygin, Jean Wu, Jason Chuang, Christopher D Manning, Andrew Ng, and Christopher Potts. 2013 · 2013
Cited alongside, same era.
Glove: Global vectors for word representation
Jeffrey Pennington, Richard Socher, and Christopher Manning. 2014 · 2014
Cited alongside, same era.
Depeche mood: a lexicon for emotion analysis from crowd annotated news
Jacopo Staiano and Marco Guerini. 2014 · 2014
Cited alongside, same era.
Sentube: A corpus for sentiment analysis on youtube social media
Olga Uryupina, Barbara Plank, Aliaksei Severyn, Agata Rotondi, and Alessandro Moschitti. 2014 · 2014
Cited alongside, same era.
Multi-task learning for multiple language translation
Daxiang Dong, Hua Wu, Wei He, Dianhai Yu, and Haifeng Wang. 2015 · 2015
Cited alongside, same era.
Low resource dependency parsing: Cross-lingual parameter sharing in a neural network parser
Assessing state-of-the-art sentiment models on state-of-the-art sentiment datasets
Jeremy Barnes, Roman Klinger, and Sabine Schulte im Walde. 2017 · 2017
Later among the works it cites.
Recurrent attention network on memory for aspect sentiment analysis
Peng Chen, Zhongqian Sun, Lidong Bing, and Wei Yang. 2017 · 2017
Later among the works it cites.
Capturing user and product information for document level sentiment analysis with deep memory network
Zi-Yi Dou. 2017 · 2017
Later among the works it cites.
Using millions of emoji occurrences to learn any-domain representations for detecting sentiment, emotion and sarcasm
Bjarke Felbo, Alan Mislove, Anders Søgaard, Iyad Rahwan, and Sune Lehmann. 2017 · 2017
Later among the works it cites.
Learning language representations for typology prediction
Chaitanya Malaviya, Graham Neubig, and Patrick Littell. 2017 · 2017
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Long Duong, Trevor Cohn, Steven Bird, and Paul Cook. 2015 · 2015
Cited alongside, same era.
Deep unordered composition rivals syntactic methods for text classification
Mohit Iyyer, Varun Manjunatha, Jordan Boyd-Graber, and Hal Daumé III. 2015 · 2015
Cited alongside, same era.
Multilingual language processing from bytes
Dan Gillick, Cliff Brunk, Oriol Vinyals, and Amarnag Subramanya. 2016 · 2016
Cited alongside, same era.
Sentiment embeddings with applications to sentiment analysis
Duyu Tang, Furu Wei, Bing Qin, Nan Yang, Ting Liu, and Ming Zhou. 2016 · 2016
Cited alongside, same era.
Attention-based lstm for aspect-level sentiment classification
Yequan Wang, Minlie Huang, Li Zhao, et al. 2016 · 2016
Cited alongside, same era.
Are you a racist or am i seeing things? annotator influence on hate speech detection on twitter
Zeerak Waseem. 2016 · 2016
Cited alongside, same era.
Hateful symbols or hateful people? predictive features for hate speech detection on twitter
Zeerak Waseem and Dirk Hovy. 2016 · 2016
Cited alongside, same era.
Saif Mohammad and Felipe Bravo-Marquez. 2017 · 2017
Later among the works it cites.
A review of affective computing: From unimodal analysis to multimodal fusion
Soujanya Poria, Erik Cambria, Rajiv Bajpai, and Amir Hussain. 2017 · 2017
Later among the works it cites.
Modeling the impact of modifiers on emotional statements
Valentina Sintsova, Margarita Bolívar Jiménez, and Pearl Pu. 2017 · 2017
Later among the works it cites.
Sentiment lexicon construction with representation learning based on hierarchical sentiment supervision
Leyi Wang and Rui Xia. 2017 · 2017
Later among the works it cites.
Refining word embeddings for sentiment analysis
Liang-Chih Yu, Jin Wang, K Robert Lai, and Xuejie Zhang. 2017 · 2017
Later among the works it cites.
Tensor fusion network for multimodal sentiment analysis
Amir Zadeh, Minghai Chen, Soujanya Poria, Erik Cambria, and Louis-Philippe Morency. 2017 · 2017
Later among the works it cites.
Attention-based lstm for psychological stress detection from spoken language using distant supervision
Genta Indra Winata, Onno Pepijn Kampman, and Pascale Fung. 2018 · 2018
Closest in time.
Deep multitask learning for semantic dependency parsing
Hao Peng, Sam Thomson, and Noah A Smith. 2017 · 2048
Closest in time.