In Naive Bayes classification, input feature vector is X =( (X 1 , X 2 , . . . , X M )
where M is the number of word is dictionary and X j = { 1 if jth word present in dictionary; 0 otherwise }
Suppose for a given text input feature vector is X(1) and after reversing the order of the words in that text, input feature vector is X (2) .
What is the relation between X (1) and X (2) .