Abstract
We propose a simple Bayesian network-based text classifier, which may be considered as a discriminative counterpart of the generative multinomial naive Bayes classifier. The method relies on the use of a fixed network topology with the arcs going form term nodes to class nodes, and also on a network parametrization based on noisy or gates. Comparative experiments of the proposed method with naive Bayes and Rocchio algorithms are carried out using three standard document collections.
Original language | English |
---|---|
Title of host publication | Actas del XIV Congreso Español sobre Tecnologías y Lógica Fuzzy |
Pages | 385-390 |
Number of pages | 6 |
Publication status | Published - 2008 |
Event | XIV Congreso Español sobre Tecnologías y Lógica Fuzzy, ESTYLF 2008 - Mieres-Langreo, Spain Duration: 17 Sept 2008 → 19 Sept 2008 |
Conference
Conference | XIV Congreso Español sobre Tecnologías y Lógica Fuzzy, ESTYLF 2008 |
---|---|
Country/Territory | Spain |
City | Mieres-Langreo |
Period | 17/09/08 → 19/09/08 |
Keywords
- Bayesian network
- noisy or gate
- multinomial naive Bayes
- text classification