{"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/181110831","title":"sCAKE: Semantic Connectivity Aware Keyword Extraction","arxiv_id":"1811.10831","date":"2018-11-27","proceeding":null,"authors":["Swagata Duari","Vasudha Bhatnagar"],"abstract":"Keyword Extraction is an important task in several text analysis endeavors.\nIn this paper, we present a critical discussion of the issues and challenges\ningraph-based keyword extraction methods, along with comprehensive empirical\nanalysis. We propose a parameterless method for constructing graph of text that\ncaptures the contextual relation between words. A novel word scoring method is\nalso proposed based on the connection between concepts. We demonstrate that\nboth proposals are individually superior to those followed by the\nstate-of-the-art graph-based keyword extraction algorithms. Combination of the\nproposed graph construction and scoring methods leads to a novel, parameterless\nkeyword extraction method (sCAKE) based on semantic connectivity of words in\nthe document.\n  Motivated by limited availability of NLP tools for several languages, we also\ndesign and present a language-agnostic keyword extraction (LAKE) method. We\neliminate the need of NLP tools by using a statistical filter to identify\ncandidate keywords before constructing the graph. We show that the resulting\nmethod is a competent solution for extracting keywords from documents\noflanguages lacking sophisticated NLP support.","url_abs":"http://arxiv.org/abs/1811.10831v1","url_pdf":"http://arxiv.org/pdf/1811.10831v1.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":"181110831","repo_url":"https://github.com/SDuari/sCAKE-and-LAKE","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":1,"framework":"none","reach":null},{"paper_slug":"181110831","repo_url":"https://github.com/SDuari/sCAKE-in-Python","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":null},{"paper_slug":"181110831","repo_url":"https://github.com/lilaspourpre/kw_extraction","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":null},{"paper_slug":"181110831","repo_url":"https://github.com/sduari/keyword-extraction-datasets","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":null},{"paper_slug":"181110831","repo_url":"https://github.com/surbhim18/sCake","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":null}],"tasks":[{"task_slug":"keyword-extraction","task_name":"Keyword Extraction"},{"task_slug":"graph-construction","task_name":"graph construction"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}