{"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/learning-semantic-representations-of-users","title":"Learning Semantic Representations of Users and Products for Document Level Sentiment Classification","arxiv_id":null,"date":"2015-07-01","proceeding":"IJCNLP 2015 7","authors":["Duyu Tang","Bing Qin","Ting Liu"],"abstract":"","url_abs":"https://aclanthology.org/P15-1098","url_pdf":"https://aclanthology.org/P15-1098.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":[],"tasks":[{"task_slug":"classification","task_name":"General Classification"},{"task_slug":"learning-semantic-representations","task_name":"Learning Semantic Representations"},{"task_slug":"opinion-mining","task_name":"Opinion Mining"},{"task_slug":"sentiment-analysis","task_name":"Sentiment Analysis"},{"task_slug":"sentiment-classification","task_name":"Sentiment Classification"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[{"leaderboard":"/sota/sentiment-analysis-on-user-and-product","task":"Sentiment Analysis","dataset":"User and product information","model":"UPNN","rank_in_archive_order":9,"of":10,"metrics":{"IMDB (Acc)":"43.5","Yelp 2013 (Acc)":"59.6","Yelp 2014 (Acc)":"60.8"},"uses_additional_data":false}],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}