Title :
An Improved Word Similarity Algorithm Based on Semantic
Author :
Si Dongsen ; Boyan, Cao ; Li Zengzhi ; Qiang, Gao
Author_Institution :
Sch. of Electron. & Inf. Eng., Xi´´an Jiaotong Univ., Xi´´an, China
Abstract :
Put forward 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.
Keywords :
classification; text analysis; thesauri; improved word similarity algorithm; parts of speech; semantic distance; thesaurus classification; thesaurus density; Algorithm design and analysis; Classification algorithms; Computers; Dictionaries; Semantics; Thesauri; Semantic; Similarity; Thesaurus;
Conference_Titel :
Information Science and Engineering (ISISE), 2010 International Symposium on
Conference_Location :
Shanghai
Print_ISBN :
978-1-61284-428-2
DOI :
10.1109/ISISE.2010.33
