Title :
Study on the Calculation of Text Similarity Based on Key-sentence
Author :
Dong, Hongni ; Zhao, Xiaohui ; Wu, Jiang ; Li, Yanfen
Author_Institution :
Coll. of Inf. Sci. & Technol., Northwest Univ., Xi´´an, China
Abstract :
To solve the problems of the slow speed and a great deal of memory demand appearing in text categorization, this paper explains Sentences Vector Space Model (SVSM), puts forward the method to calculate text similarity based on key sentences. Experiments show the better result.
Keywords :
text analysis; key sentence; memory demand; sentences vector space model; text categorization; text similarity; Classification algorithms; Gold; Semantics; Silicon; Support vector machine classification; Text categorization; Training; SVSM; VSM; key sentences; text categorization; text similarity;
Conference_Titel :
E-Business and E-Government (ICEE), 2010 International Conference on
Conference_Location :
Guangzhou
Print_ISBN :
978-0-7695-3997-3
DOI :
10.1109/ICEE.2010.493
