An Improved Word Similarity Algorithm Based on Semantic

Abstract

Presents a Word Similarity Algorithm based on Thesaurus, Made two changes to the structure of Thesaurus to accurately reflect the semantic distance, the algorithm took into account the Thesaurus classification for different parts of speech, the Thesaurus density, the relationship between words and so on. Experiments show that this method can significantly improve the quality of similarity calculation.