In Naive Bayes classification, input feature vector is X =( (X 1 , X 2 , .
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Question:
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) .
Related Book For
Discrete and Combinatorial Mathematics An Applied Introduction
ISBN: 978-0201726343
5th edition
Authors: Ralph P. Grimaldi
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