{"id":13444475,"url":"https://github.com/suzana-ilic/Deep_Learning_Affective_Computing","last_synced_at":"2025-03-20T18:32:55.321Z","repository":{"id":96775698,"uuid":"183856291","full_name":"suzana-ilic/Deep_Learning_Affective_Computing","owner":"suzana-ilic","description":"A collection of Deep Learning for Affective Computing","archived":false,"fork":false,"pushed_at":"2019-05-02T03:21:05.000Z","size":23,"stargazers_count":6,"open_issues_count":0,"forks_count":1,"subscribers_count":2,"default_branch":"master","last_synced_at":"2024-08-01T04:02:09.671Z","etag":null,"topics":["affective-computing","deep-learning"],"latest_commit_sha":null,"homepage":null,"language":null,"has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/suzana-ilic.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null}},"created_at":"2019-04-28T04:40:15.000Z","updated_at":"2023-09-28T11:01:08.000Z","dependencies_parsed_at":"2024-01-13T22:55:01.797Z","dependency_job_id":"e188d053-da4b-4fd7-a8a0-ab8af47fd50b","html_url":"https://github.com/suzana-ilic/Deep_Learning_Affective_Computing","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/suzana-ilic%2FDeep_Learning_Affective_Computing","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/suzana-ilic%2FDeep_Learning_Affective_Computing/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/suzana-ilic%2FDeep_Learning_Affective_Computing/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/suzana-ilic%2FDeep_Learning_Affective_Computing/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/suzana-ilic","download_url":"https://codeload.github.com/suzana-ilic/Deep_Learning_Affective_Computing/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":221792892,"owners_count":16881289,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["affective-computing","deep-learning"],"created_at":"2024-07-31T04:00:24.619Z","updated_at":"2024-10-28T06:31:04.605Z","avatar_url":"https://github.com/suzana-ilic.png","language":null,"funding_links":[],"categories":["Uncategorized"],"sub_categories":["Uncategorized"],"readme":"# Deep Learning for Affective Computing\nA collection of papers for text-based Affective Computing\n\n## Deep Learning for text-based emotion recognition\n\n**A review of affective computing: From unimodal analysis to multimodal fusion (2017):**\nPoria, S., Cambria, E., Bajpai, R., \u0026 Hussain, A [[paper]](https://www.sciencedirect.com/science/article/pii/S1566253517300738)\n\n**Deep learning for affective computing: text-based emotion recognition in decision support (2018):**\nBernhard Kratzwald, Suzana Ilic, Mathias Kraus, Stefan Feuerriegel, Helmut Prendinger [[paper]](https://arxiv.org/abs/1803.06397)\n\n**Gradascent at EmoInt 2017: Character and word level recurrent neural network models for tweet emotion intensity detection (2018):**\nLakomkin, E., Bothe, C., \u0026 Wermter, S. [[paper]](https://arxiv.org/abs/1803.11509)\n\n**Using millions of emoji occurrences to learn any-domain representations for detecting sentiment, emotion and sarcasm (2017):**\nFelbo, B., Mislove, A., Søgaard, A., Rahwan, I., \u0026 Lehmann, S. [[paper]](https://arxiv.org/abs/1708.00524)\n\n**A sentiment-and-semantics-based approach for emotion detection in textual conversations (2017):**\nGupta, U., Chatterjee, A., Srikanth, R., \u0026 Agrawal, P. [[paper]](https://arxiv.org/abs/1707.06996)\n\n**Prayas at EmoInt 2017: An Ensemble of Deep Neural Architectures for Emotion Intensity Prediction in Tweets (2017):**\nPranav Goel, Devang Kulshreshtha, Prayas Jain, Kaushal Kumar Shukla [[paper]](https://www.aclweb.org/anthology/papers/W/W17/W17-5207/)\n\n**YZU-NLP at EmoInt-2017: Determining Emotion Intensity Using a Bi-directional LSTM-CNN Model (2017):**\nYuanye He, Liang-Chih Yu, K. Robert Lai, Weiyi Liu [[paper]](https://www.aclweb.org/anthology/papers/W/W17/W17-5233/)\n\n\n## Dialogue Systems (emotion-based, persona-based)\n\n**Emotional Chatting Machine: Emotional Conversation Generation with Internal and External Memory (2018):**\nHao Zhou, Minlie Huang, Tianyang Zhang, Xiaoyan Zhu, Bing Liu [[paper]](https://www.aaai.org/ocs/index.php/AAAI/AAAI18/paper/viewPaper/16455)\n\n**A Persona-Based Neural Conversation Model (2016):**\nJiwei Li, Michel Galley, Chris Brockett, Georgios P. Spithourakis, Jianfeng Gao, Bill Dolan [[paper]](https://arxiv.org/abs/1603.06155)\n\n## Affective Computing\n\n**Affective Computing (2000):**\nRosalind Picard [[paper]](http://www.facweb.iitkgp.ac.in/~niloy/COURSE/Autumn2014/SmartPhone/Books_Paper/1995_Affective%20computing_Picard.pdf)\n\n# Affect Theory\n\n**A general psychoevolutionary theory of emotion (1980):**\nRobert Plutchik [[paper]](https://www.sciencedirect.com/science/article/pii/B9780125587013500077)\n\n**A circumplex model of affect (1980):**\nJames Russell [[paper]](https://psycnet.apa.org/record/1981-25062-001)\n\n\u003cp align=\"left\"\u003e\n  \u003cimg src=\"https://github.com/suzana-ilic/Deep_Learning_Affective_Computing/blob/master/russell.png\" width=\"500\"\u003e\n\u003c/p\u003e\n\n\n**The expression of the emotions in man and animals (1872):**\nCharles Darwin [[Book PDF]](https://pure.mpg.de/rest/items/item_2309885/component/file_2309884/content)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsuzana-ilic%2FDeep_Learning_Affective_Computing","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fsuzana-ilic%2FDeep_Learning_Affective_Computing","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsuzana-ilic%2FDeep_Learning_Affective_Computing/lists"}