An Automatic Text Summarization using Text Features and Singular Value Decomposition for Popular Articles in Indonesia Language

Title: An Automatic Text Summarization using Text Features and Singular Value Decomposition for Popular Articles in Indonesia Language
Author: Fergyanto E. Gunawan, Adrian Victor Juandi, Benfano Soewito
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: Automatic text summarization; Indonesia language; Latent semantic analysis, Singular value decomposition
Corresponding Author: Fergyanto E. Gunawan (f.e.gunawan@gmail.com)
Conference: International Seminar on Intelligent Technology and Its Applications