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Title:

EmoNet: Fine-Grained Emotion Detection with Gated Recurrent Neural Networks

Abstract:

Accurate detection of emotion from natural language has applications ranging from building emotional chatbots to better understanding individuals and their lives. However, progress on emotion detection has been hampered by the absence of large labeled datasets. In this work, we build a very large dataset for fine-grained emotions and develop deep learning models on it. We achieve a new state-of-the-art on 24 fine-grained types of emotions (with an average accuracy of 87.58%). We also extend the task beyond emotion types to model Robert Plutchik’s 8 primary emotion dimensions, acquiring a superior accuracy of 95.68%.

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# Title Author Topic Medium Score
1 Sentiment Analysis of Social Media Texts Saif M. Mohammad, Xiaodan Zhu 1122
2 Deep Learning for Sentiment Analysis : {A} Survey Lei Zhang and Shuai Wang and Bing Liu 1045
3 No time to read AI research? We summarized top 2018 papers for you Mariya Yao 1007
4 Encode, Review, and Decode: Reviewer Module for Caption Generation Zhilin Yang, Ye Yuan, Yuexin Wu, Ruslan Salakhutdinov, William W Cohen 9999
5 Computational Analysis of Affect and Emotion in Language Saif M. Mohammad, Cecilia Ovesdotter Alm 1122
6 A Survey on Deep Learning for Named Entity Recognition Li, Jing and Sun, Aixin and Han, Jianglei and Li, Chenliang 1089
7 Neural Approaches to Conversational {AI} Jianfeng Gao and Michel Galley and Lihong Li 1048
8 Sentiment Analysis and Opinion Mining Bing Liu 1122
9 PyTorch Unsupervised Sentiment Discovery NVIDIA 1122
10 Neural Approaches to Conversational AI: Question Answering, Task-Oriented Dialogue and Chatbots: A Unified View Jianfeng Gao, Michel Galley, Lihong Li 1141
11 Affect Detection from Text – from Affect Sciences to Computational Models Alexandra Balahur 1195
12 Emotions in language: Linguistic and computational approaches Diana Santos, Belinda Maia 9999
13 Learning about the world through video Moritz Mueller-Freitag 1300
14 Deep Unordered Composition Rivals Syntactic Methods for Text Classification Mohit Iyyer, Varun Manjunatha, Jordan Boyd-Graber, Hal Daumé III 9999
15 Deep Unordered Composition Rivals Syntactic Methods for Text Classification Mohit Iyyer, Varun Manjunatha, Jordan Boyd-Graber, Hal Daum’e III 9999
16 NLP's ImageNet moment has arrived Sebastian Ruder 1338
17 Modern Deep Learning Techniques Applied to Natural Language Processing Elvis Saravia, Soujanya Poria 1183
18 Empath: Understanding Topic Signals in Large-Scale Text Ethan Fast, Binbin Chen, Michael Bernstein 9999
19 Long Short-Term Memory-Networks for Machine Reading Jianpeng Cheng, Li Dong, Mirella Lapata 9999
20 Mathematics of Deep Learning Raja Giryes, René Vidal 1183
21 A Year In Computer Vision Benjamin F. Duffy, Daniel R. Flynn 862
22 The 4 Biggest Open Problems in NLP Sebastian Ruder 1201
23 Recent Advances in Recurrent Neural Networks Hojjat Salehinejad and Julianne Baarbe and Sharan Sankar and Joseph... 1190
24 Applications of Social Media Text Analysis Atefeh Farzindar, Diana Inkpen 1231
25 Do Multi-Sense Embeddings Improve Natural Language Understanding? Jiwei Li, Dan Jurafsky 9999
26 Visualizing and Understanding Neural Models in NLP Jiwei Li, Xinlei Chen, Eduard Hovy, Dan Jurafsky 9999
27 ACL 2018 Highlights: Understanding Representations and Evaluation in More Challenging Settings Sebastian Ruder 9999
28 Do Multi-Sense Embeddings Improve Natural Language Understanding? Jiwei Li, Dan Jurafsky 9999
29 ACL 2018 Highlights: Understanding Representations and Evaluation in More Challenging Settings Sebastian Ruder 9999
30 Recurrent Memory Networks for Language Modeling Ke Tran, Arianna Bisazza, Christof Monz 9999
31 Multilingual Sentiment and Subjectivity Analysis Rada Mihalcea, Carmen Banea, Janyce Wiebe 1122
32 We Are Humor Beings: Understanding and Predicting Visual Humor Arjun Chandrasekaran, Ashwin K. Vijayakumar, Stanislaw Antol, Mohit... 9999
33 Summaries and notes on Deep Learning research papers Denny Britz 1183
34 Words or Characters? Fine-grained Gating for Reading Comprehension Zhilin Yang, Bhuwan Dhingra, Ye Yuan, Junjie Hu, William W Cohen, R... 9999
35 Representation Learning on Graphs: Methods and Applications William L. Hamilton, Rex Ying, Jure Leskovec 1216
36 ICML 2018 Notes David Abel 9999
37 Opinion mining and sentiment analysis Bo Pang and Lillian Lee 1122
38 Attributes as Semantic Units between Natural Language and Visual Recognition Marcus Rohrbach 9999
39 A Comprehensive Hands-on Guide to Transfer Learning with Real-World Applications in Deep Learning Dipanjan (DJ) Sarkar 9999
40 Sentiment Analysis, Opinion Mining, NLP and Social Media Lu Wang 1029
41 Evaluative language beyond bags of words: Linguistic insights and computational applications Benamara, Farah and Taboada, Maite and Mathieu, Yannick 1265
42 PyTorch-GAN Jun-Yan Zhu, Richard Zhang, Deepak Pathak, Trevor Darrell, Alexei A... 1189
43 Language+Vision Mohit Bansal 1338
44 Ask Me Anything: Dynamic Memory Networks for Natural Language Processing Ankit Kumar, Ozan Irsoy, Jonathan Su, James Bradbury, Robert Englis... 9999
45 A Review of the Neural History of Natural Language Processing Sebastian Ruder 1053
46 NLP & Healthcare: Understanding the Language of Medicine Xavier Amatriain 1150
47 Neural Semantic Encoders Tsendsuren Munkhdalai, Hong Yu 9999
48 Commonsense for Machine Intelligence: Text to Knowledge and Knowledge to Text Gerard de Melo, Niket Tandon and Aparna S. Varde 1216
49 Artificial Intelligence and Games Georgios N. Yannakakis and Julian Togelius 1307
50 Computing with Affective Lexicons Affective, Sentimental, Dan Jurafsky 1123