Word Classification

This chapter is concerned with the process of classifying words semantically into one or more among the predefined categories. In the previous chapter, we studied the process of encoding a word into a numerical vector whose features are texts. In word classification, categories are predefined as a list or a tree, labeled words are prepared as sample ones, they are encoded into numerical vectors, and a machine learning algorithm is trained with them. A novice word is encoded into a numerical vector and classified into a category by the trained machine learning algorithm. This chapter is intended to describe the process of classifying a word semantically.