Negation Naive Bayes for Categorization of Product Pages on the Web
Kanako Komiya, Naoto Sato, Koji Fujimoto, Yoshiyuki Kotani · Recent Advances in Natural Language Processing · 2011
We propose the negation naive Bayes (NNB): a new method to categorize product pages on the Web depending on their information. It is a modified version of the naive Bayes (NB) and we got the idea from the complement naive Bayes (CNB). We compared the NNB with the NB and the CNB. Our experiments show that the NNB outperformed the other methods significantly when the product pages were distributed non-uniformly through categories.