Automatic Text Summarization Using Latent Drichlet Allocation (LDA) for Document Clustering

Automatic Text Summarization Using Latent Drichlet Allocation (LDA) for Document Clustering

In this paper, we present Latent Drichlet Allocation in automatic text summarization to improve accuracy in document clustering. The experiments involving 398 data set from public blog article obtained by using python scrapy crawler and scraper. Several steps of clustering in this research are prepr...

Full description

Bibliographic Details
Main Authors: Erwin Yudi Hidayat, Fahri Firdausillah, Khafiizh Hastuti, Ika Novita Dewi, Azhari Azhari
Format: Article
Language:English
Published: Universitas Ahmad Dahlan 2015-12-01
Series:IJAIN (International Journal of Advances in Intelligent Informatics)
Subjects:
LDA, text summarization, clustering, k-means
Online Access:http://ijain.org/index.php/IJAIN/article/view/43

Internet

http://ijain.org/index.php/IJAIN/article/view/43

Similar Items