{"type":"ScholarlyArticle","title":"Using a Bayesian Network Induction Approach for Text Categorization","authors":[{"name":"Wai Lam","slug":"wai-lam","given":"Wai","family":"Lam","affiliation":""},{"name":"Kon Fan Low","slug":"kon-fan-low","given":"Kon Fan","family":"Low","affiliation":""},{"name":"Chao Yang Ho","slug":"chao-yang-ho","given":"Chao Yang","family":"Ho","affiliation":""}],"abstract":"We investigate Bayesian methods for automatic document categorization and develop a new approach to this problem. Our new approach is based on a Bayesian network induction which does not rely on some major assumptions found in a previous method using the Bayesian independence classifier approach. The design of the new approach as well as its justification are presented. Experiments were conducted using a large-scale document co ll ection from Reuters news articles. The results show that our approach outperformed the Bayesian independence classifier as measured by a metric that combines precision and recall measures.","doi":null,"url":"https://ijcai.org/proceedings/1997/108","pdf":"https://ijcai.org/proceedings/1997/0108.pdf","markdown":"https://ijcai.org/proceedings/1997/108.md","bibtex":"https://ijcai.org/proceedings/1997/bibtex/108","volume":{"slug":"1997","title":"Proceedings of the Fifteenth International Joint Conference on Artificial Intelligence","short_title":"IJCAI 1997","url":"https://ijcai.org/proceedings/1997/","year":1997,"location":"Nagoya, Japan","dates":"","editors":"Martha E. Pollack","isbn":"","publisher":"International Joint Conferences on Artificial Intelligence","doi_prefix":""},"section":"Information Retrieval","track":"Information Retrieval","number":108,"pages":{"first":745,"last":749},"keywords":[],"videos":[],"references":[],"license_note":"Copyright International Joint Conferences on Artificial Intelligence."}