{"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/character-level-convolutional-network-for","title":"Character-level Convolutional Network for Text Classification Applied to Chinese Corpus","arxiv_id":"1611.04358","date":"2016-11-14","proceeding":null,"authors":["Wei-Jie Huang","Jun Wang"],"abstract":"This article provides an interesting exploration of character-level\nconvolutional neural network solving Chinese corpus text classification\nproblem. We constructed a large-scale Chinese language dataset, and the result\nshows that character-level convolutional neural network works better on Chinese\ncorpus than its corresponding pinyin format dataset. This is the first time\nthat character-level convolutional neural network applied to text\nclassification problem.","url_abs":"http://arxiv.org/abs/1611.04358v2","url_pdf":"http://arxiv.org/pdf/1611.04358v2.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":"character-level-convolutional-network-for","repo_url":"https://github.com/koalaGreener/Character-level-Convolutional-Network-for-Text-Classification-Applied-to-Chinese-Corpus","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":1,"framework":"tf","reach":null}],"tasks":[{"task_slug":"classification-1","task_name":"Classification"},{"task_slug":"classification","task_name":"General Classification"},{"task_slug":"text-classification","task_name":"Text Classification"},{"task_slug":"text-classification-1","task_name":"text-classification"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}