{"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/happydb-a-corpus-of-100000-crowdsourced-happy","title":"HappyDB: A Corpus of 100,000 Crowdsourced Happy Moments","arxiv_id":"1801.07746","date":"2018-01-23","proceeding":"LREC 2018 5","authors":["Akari Asai","Sara Evensen","Behzad Golshan","Alon Halevy","Vivian Li","Andrei Lopatenko","Daniela Stepanov","Yoshihiko Suhara","Wang-Chiew Tan","Yinzhan Xu"],"abstract":"The science of happiness is an area of positive psychology concerned with\nunderstanding what behaviors make people happy in a sustainable fashion.\nRecently, there has been interest in developing technologies that help\nincorporate the findings of the science of happiness into users' daily lives by\nsteering them towards behaviors that increase happiness. With the goal of\nbuilding technology that can understand how people express their happy moments\nin text, we crowd-sourced HappyDB, a corpus of 100,000 happy moments that we\nmake publicly available. This paper describes HappyDB and its properties, and\noutlines several important NLP problems that can be studied with the help of\nthe corpus. We also apply several state-of-the-art analysis techniques to\nanalyze HappyDB. Our results demonstrate the need for deeper NLP techniques to\nbe developed which makes HappyDB an exciting resource for follow-on research.","url_abs":"http://arxiv.org/abs/1801.07746v2","url_pdf":"http://arxiv.org/pdf/1801.07746v2.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":"happydb-a-corpus-of-100000-crowdsourced-happy","repo_url":"https://github.com/Nathanlang14/MSCS-5931-HappyDB","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":null},{"paper_slug":"happydb-a-corpus-of-100000-crowdsourced-happy","repo_url":"https://github.com/theharshy/happiness-classifier","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":null}],"tasks":[{"task_slug":"art-analysis","task_name":"Art Analysis"}],"methods":[],"datasets_introduced":[{"slug":"happydb","name":"HappyDB","full_name":""}],"methods_introduced":[],"results":[],"syntology":{"syntology_url":null,"atlas_url":"https://app.syntology.ai/?focus=1801.07746","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}