Patent categorization based on Bayes model
Wen Gui-hua · Jisuanji gongcheng yu sheji · 2005
Based on naive bayes classifier having solid theory foundation and high accuracy rate of classification,the classical naive bayes classifier was firstly improved by using term weight function in text,and then the patent categorization was implemented.This approach not only reduced manual labor and the categorization error,but also supported for the technology tracing,competition intel-ligence etc.The experiments and applications illustratethat the improved naive bayesclassifier can beutilized to classify patents efficiently.