{"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/textrank-bringing-order-into-texts","title":"TextRank: Bringing Order into Texts","arxiv_id":null,"date":"2004-07-25","proceeding":"Conference 2004 7","authors":["Rada Mihalcea","Paul Tarau"],"abstract":"In this paper, we introduce TextRank – a graph-based ranking model for text processing and show how this model can be successfully used in natural language applications. In particular, we propose two innovative unsupervised methods for keyword and sentence extraction and show that the results obtained compare favorably with previously published results on established benchmarks.","url_abs":"https://aclanthology.org/W04-3252","url_pdf":"https://aclanthology.org/W04-3252.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":"textrank-bringing-order-into-texts","repo_url":"https://github.com/abhiyansh/Text-Summarizer","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":0,"framework":"none","reach":null}],"tasks":[{"task_slug":"sentence","task_name":"Sentence"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}