{"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/crowd-labeling-fashion-reviews-with-quality","title":"Crowd-Labeling Fashion Reviews with Quality Control","arxiv_id":"1805.09648","date":"2018-04-05","proceeding":null,"authors":["Iurii Chernushenko","Felix A. Gers","Alexander Löser","Alessandro Checco"],"abstract":"We present a new methodology for high-quality labeling in the fashion domain\nwith crowd workers instead of experts. We focus on the Aspect-Based Sentiment\nAnalysis task. Our methods filter out inaccurate input from crowd workers but\nwe preserve different worker labeling to capture the inherent high variability\nof the opinions. We demonstrate the quality of labeled data based on Facebook's\nFastText framework as a baseline.","url_abs":"http://arxiv.org/abs/1805.09648v1","url_pdf":"http://arxiv.org/pdf/1805.09648v1.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":"crowd-labeling-fashion-reviews-with-quality","repo_url":"https://github.com/oana-inel/ResponsibleAIDataCollection","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":{"status":"ok"}}],"tasks":[{"task_slug":"aspect-based-sentiment-analysis-1","task_name":"Aspect-Based Sentiment Analysis"},{"task_slug":"aspect-based-sentiment-analysis","task_name":"Aspect-Based Sentiment Analysis (ABSA)"},{"task_slug":"sentiment-analysis","task_name":"Sentiment Analysis"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}