Top-down Hierarchical method for Chinese Document Classification

摘要

Existing statistical document classification systems often ignore the hierarchical structure of the predefined categories. This makes it difficult to identify which category a document belongs to when the possible categories are domewhat similar. In this article, we propose a top-down classification method according to the hierarchical structure of topics. The purpose is to improve precision and reduce computation of classification systems. Through a concept dictionary(thesaurus), we map the synonyms or lower-level concepts in a document to a small set of feature words that are used as terms. This reduces the computational cost from another aspect by reducing the dimension of the feature space.