An automatic text summarization using text features and singular value decomposition for popular articles in Indonesia language

Author

Gunawan, Fergyanto E. ; Juandi, Adrian Victor ; Soewito, Benfano

Author_Institution

Binus Grad. Programs, Bina Nusantara Univ., Jakarta, Indonesia

fYear

2015

fDate

20-21 May 2015

Firstpage

27

Lastpage

32

Abstract

The machine text summarization is of necessary with the existing of the enormous amount of popular articles. This work evaluates the latent semantic analysis technique to summarize popular articles in Indonesia language. The summarization performance are evaluated with respect to precision, recall, and F-measure. As results, the performance seems to be reasonably high particularly when the summarization level is 50%.

Keywords

natural language processing; singular value decomposition; text analysis; F-measure; Indonesia language; automatic text summarization; latent semantic analysis technique; machine text summarization; popular articles; precision; recall; singular value decomposition; summarization level; summarization performance; text features; Electronic mail; Matrix decomposition; Printing; Semantics; Singular value decomposition; Sparse matrices; Technological innovation; Automatic text summarization; Indonesia language; Latent semantic analysis; Singular value decomposition;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Technology and Its Applications (ISITIA), 2015 International Seminar on

Conference_Location

Surabaya

Print_ISBN

978-1-4799-7710-9

Type

conf

DOI

10.1109/ISITIA.2015.7219948

Filename

7219948