{"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/semaxis-a-lightweight-framework-to","title":"SemAxis: A Lightweight Framework to Characterize Domain-Specific Word Semantics Beyond Sentiment","arxiv_id":"1806.05521","date":"2018-06-14","proceeding":"ACL 2018 7","authors":["Jisun An","Haewoon Kwak","Yong-Yeol Ahn"],"abstract":"Because word semantics can substantially change across communities and\ncontexts, capturing domain-specific word semantics is an important challenge.\nHere, we propose SEMAXIS, a simple yet powerful framework to characterize word\nsemantics using many semantic axes in word- vector spaces beyond sentiment. We\ndemonstrate that SEMAXIS can capture nuanced semantic representations in\nmultiple online communities. We also show that, when the sentiment axis is\nexamined, SEMAXIS outperforms the state-of-the-art approaches in building\ndomain-specific sentiment lexicons.","url_abs":"http://arxiv.org/abs/1806.05521v1","url_pdf":"http://arxiv.org/pdf/1806.05521v1.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":"semaxis-a-lightweight-framework-to","repo_url":"https://github.com/ghdi6758/SemAxis","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":0,"framework":"none","reach":{"status":"ok"}}],"tasks":[],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":"https://app.syntology.ai/?focus=1806.05521","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}