def result(): type = [] fp = open("csdn_blog_classify/doc/type_list.txt","r") for doc in fp.readlines(): type.append(doc) fp.close() classifiedNum = cbc.testingBayes() #print "the text is classified as:",str(type[classifiedNum]).decode("utf-8") result = str(type[classifiedNum]) return result
def result(): type = [] fp = open("csdn_blog_classify/doc/type_list.txt", "r") for doc in fp.readlines(): type.append(doc) fp.close() classifiedNum = cbc.testingBayes() #print "the text is classified as:",str(type[classifiedNum]).decode("utf-8") result = str(type[classifiedNum]) return result
#encoding:utf-8 import csdn_bayes as cbc type = [] fp = open("doc/type_list.txt","r") for doc in fp.readlines(): type.append(doc) classifiedNum = cbc.testingBayes() #print "the text is classified as:",str(type[classifiedNum]).decode("utf-8") result = str(type[classifiedNum]) print result