A collection of papers for text-based Affective Computing

A review of affective computing: From unimodal analysis to multimodal fusion (2017): Poria, S., Cambria, E., Bajpai, R., & Hussain, A [paper]

Deep learning for affective computing: text-based emotion recognition in decision support (2018): Bernhard Kratzwald, Suzana Ilic, Mathias Kraus, Stefan Feuerriegel, Helmut Prendinger [paper]

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]

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]

A sentiment-and-semantics-based approach for emotion detection in textual conversations (2017): Gupta, U., Chatterjee, A., Srikanth, R., & Agrawal, P. [paper]

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]

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]

Emotional Chatting Machine: Emotional Conversation Generation with Internal and External Memory (2018): Hao Zhou, Minlie Huang, Tianyang Zhang, Xiaoyan Zhu, Bing Liu [paper]

A Persona-Based Neural Conversation Model (2016): Jiwei Li, Michel Galley, Chris Brockett, Georgios P. Spithourakis, Jianfeng Gao, Bill Dolan [paper]

Affective Computing (2000): Rosalind Picard [paper]

A general psychoevolutionary theory of emotion (1980): Robert Plutchik [paper]

A circumplex model of affect (1980): James Russell [paper]

The expression of the emotions in man and animals (1872): Charles Darwin [Book PDF]