{"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/a-brief-survey-of-text-mining-classification","title":"A Brief Survey of Text Mining: Classification, Clustering and Extraction Techniques","arxiv_id":"1707.02919","date":"2017-07-10","proceeding":null,"authors":["Mehdi Allahyari","Seyedamin Pouriyeh","Mehdi Assefi","Saied Safaei","Elizabeth D. Trippe","Juan B. Gutierrez","Krys Kochut"],"abstract":"The amount of text that is generated every day is increasing dramatically.\nThis tremendous volume of mostly unstructured text cannot be simply processed\nand perceived by computers. Therefore, efficient and effective techniques and\nalgorithms are required to discover useful patterns. Text mining is the task of\nextracting meaningful information from text, which has gained significant\nattentions in recent years. In this paper, we describe several of the most\nfundamental text mining tasks and techniques including text pre-processing,\nclassification and clustering. Additionally, we briefly explain text mining in\nbiomedical and health care domains.","url_abs":"http://arxiv.org/abs/1707.02919v2","url_pdf":"http://arxiv.org/pdf/1707.02919v2.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":"a-brief-survey-of-text-mining-classification","repo_url":"https://github.com/RAJAT--PALIWAL/research_AI","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":null}],"tasks":[{"task_slug":"clustering","task_name":"Clustering"},{"task_slug":"classification","task_name":"General Classification"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"syntology_url":"https://syntology.ai/paper/1707.02919","atlas_url":"https://app.syntology.ai/?focus=1707.02919","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}