{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/deepemo-learning-and-enriching-pattern-based","title":"DeepEmo: Learning and Enriching Pattern-Based Emotion Representations","arxiv_id":"1804.08847","date":"2018-04-24","proceeding":null,"authors":["Elvis Saravia","Hsien-Chi Toby Liu","Yi-Shin Chen"],"abstract":"We propose a graph-based mechanism to extract rich-emotion bearing patterns,\nwhich fosters a deeper analysis of online emotional expressions, from a corpus.\nThe patterns are then enriched with word embeddings and evaluated through\nseveral emotion recognition tasks. Moreover, we conduct analysis on the\nemotion-oriented patterns to demonstrate its applicability and to explore its\nproperties. Our experimental results demonstrate that the proposed techniques\noutperform most state-of-the-art emotion recognition techniques.","url_abs":"http://arxiv.org/abs/1804.08847v1","url_pdf":"http://arxiv.org/pdf/1804.08847v1.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"deepemo-learning-and-enriching-pattern-based","repo_url":"https://github.com/omarsar/twitter_crawler_by_keywords","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":null}],"tasks":[{"task_slug":"emotion-recognition","task_name":"Emotion Recognition"},{"task_slug":"word-embeddings","task_name":"Word Embeddings"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}