Categorization of Item by using Item Information on the Web

Abstract

In this paper, we suggest method to categorize item by using item information on the Web. We prepared 4 kinds of item information to categorize item: item names, item names that extracted nouns, item names and item descriptions, and item names and item descriptions that extracted nouns. With these item information, we categorized item by naive Bayes classifier. As a result of categorization, we got classification precision to exceed far a baseline. Classification precision that used only item names was about 15 point higher than used item names and item descriptions. Classification precision that used item information extracted nouns was about 1 point higher than used not extracted nouns.