Improved Naive Bayes Text Classification Algorithm
Zhongyang Xiong · Journal of Guangxi Normal University · 2007
There is an independence hypothesis in Bayesian classifier method:examples of the emergence of each attribute are independent from the examples of other attributes appear,the practical application of such conditions are not easily satisfied because the special version of the related characters may have new meaning in a special text.Therefore,while training the text,the characters of higher relevant can be amalgamated.The experimental data indicates,that this improved method can improve the algorithm accuracy appreciably.