Optimal Design of the Subject Indexing using Word-Frequency sampling

Abstract

We proposed a new weighting function for the subject indexing in the research. Comprehensively combining with four important factors such as the weight value of subject words, the classes, the specificity, and the cohesion relation. This new approach could help the indexing of the subject words of the official document, enhance the work efficiency, realize the automatic indexing, and reduce the mistakes because of personal factors. The experiment validates the effectiveness of the method.