DocumentCode
2438129
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
fYear
2010
fDate
7-9 May 2010
Firstpage
1952
Lastpage
1955
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;
fLanguage
English
Publisher
ieee
Conference_Titel
E-Business and E-Government (ICEE), 2010 International Conference on
Conference_Location
Guangzhou
Print_ISBN
978-0-7695-3997-3
Type
conf
DOI
10.1109/ICEE.2010.493
Filename
5592757
Link To Document