https://github.com/suzana-ilic/Deep_Learning_Affective_Computing

A collection of Deep Learning for Affective Computing
https://github.com/suzana-ilic/Deep_Learning_Affective_Computing

affective-computing deep-learning

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A collection of Deep Learning for Affective Computing

• Host: GitHub
• URL: https://github.com/suzana-ilic/Deep_Learning_Affective_Computing
• Owner: suzana-ilic
• Created: 2019-04-28T04:40:15.000Z (over 5 years ago)
• Default Branch: master
• Last Pushed: 2019-05-02T03:21:05.000Z (over 5 years ago)
• Last Synced: 2024-08-01T04:02:09.671Z (4 months ago)
• Topics: affective-computing, deep-learning
• Size: 22.5 KB
• Stars: 6
• Watchers: 2
• Forks: 1
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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• awesomeai - Affective_Computing
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README

        
# Deep Learning for Affective Computing

A collection of papers for text-based Affective Computing

## Deep Learning for text-based emotion recognition

**A review of affective computing: From unimodal analysis to multimodal fusion (2017):**

Poria, S., Cambria, E., Bajpai, R., & Hussain, A [[paper]](https://www.sciencedirect.com/science/article/pii/S1566253517300738)

**Deep learning for affective computing: text-based emotion recognition in decision support (2018):**

Bernhard Kratzwald, Suzana Ilic, Mathias Kraus, Stefan Feuerriegel, Helmut Prendinger [[paper]](https://arxiv.org/abs/1803.06397)

**Gradascent at EmoInt 2017: Character and word level recurrent neural network models for tweet emotion intensity detection (2018):**

Lakomkin, E., Bothe, C., & Wermter, S. [[paper]](https://arxiv.org/abs/1803.11509)

**Using millions of emoji occurrences to learn any-domain representations for detecting sentiment, emotion and sarcasm (2017):**

Felbo, B., Mislove, A., Søgaard, A., Rahwan, I., & Lehmann, S. [[paper]](https://arxiv.org/abs/1708.00524)

**A sentiment-and-semantics-based approach for emotion detection in textual conversations (2017):**

Gupta, U., Chatterjee, A., Srikanth, R., & Agrawal, P. [[paper]](https://arxiv.org/abs/1707.06996)

**Prayas at EmoInt 2017: An Ensemble of Deep Neural Architectures for Emotion Intensity Prediction in Tweets (2017):**

Pranav Goel, Devang Kulshreshtha, Prayas Jain, Kaushal Kumar Shukla [[paper]](https://www.aclweb.org/anthology/papers/W/W17/W17-5207/)

**YZU-NLP at EmoInt-2017: Determining Emotion Intensity Using a Bi-directional LSTM-CNN Model (2017):**

Yuanye He, Liang-Chih Yu, K. Robert Lai, Weiyi Liu [[paper]](https://www.aclweb.org/anthology/papers/W/W17/W17-5233/)

## Dialogue Systems (emotion-based, persona-based)

**Emotional Chatting Machine: Emotional Conversation Generation with Internal and External Memory (2018):**

Hao Zhou, Minlie Huang, Tianyang Zhang, Xiaoyan Zhu, Bing Liu [[paper]](https://www.aaai.org/ocs/index.php/AAAI/AAAI18/paper/viewPaper/16455)

**A Persona-Based Neural Conversation Model (2016):**

Jiwei Li, Michel Galley, Chris Brockett, Georgios P. Spithourakis, Jianfeng Gao, Bill Dolan [[paper]](https://arxiv.org/abs/1603.06155)

## Affective Computing

**Affective Computing (2000):**

Rosalind Picard [[paper]](http://www.facweb.iitkgp.ac.in/~niloy/COURSE/Autumn2014/SmartPhone/Books_Paper/1995_Affective%20computing_Picard.pdf)

# Affect Theory

**A general psychoevolutionary theory of emotion (1980):**

Robert Plutchik [[paper]](https://www.sciencedirect.com/science/article/pii/B9780125587013500077)

**A circumplex model of affect (1980):**

James Russell [[paper]](https://psycnet.apa.org/record/1981-25062-001)



  



**The expression of the emotions in man and animals (1872):**

Charles Darwin [[Book PDF]](https://pure.mpg.de/rest/items/item_2309885/component/file_2309884/content)