IIUM Repository

Study on sparseness effects over NMF applied for automatic text summarization

Batcha, Nowshath Kadhar and Murugesan, Raja Kumar and A. Aziz, Normaziah (2012) Study on sparseness effects over NMF applied for automatic text summarization. In: The 2nd IEEE International Conference on Cyber Technology In Automation, Control, and Intelligent Systems (IEEE-CYBER 2012), 27th - 31th May 2012, Imperial Queen’s Park Hotel, Bangkok, Thailand.

[img] PDF - Published Version
Restricted to Repository staff only

Download (764kB) | Request a copy

Abstract

The significance of Non-negative Matrix Factorization ((NMF) in the field of automatic text summarization is rapidly increasing due to its interpretation and storage capabilities. Interpretation defines the ease at which the structure of high dimensional data can be understood. While, storage capability relates to the extent of data reduction process achieved by NMF. The parametric values that serve as input to the NMF process include initialization method, rank of factorization, sparseness measure and maximum iteration. These inputs are vital to the output produced by NMF. These parameters of NMF were not been considered in the existing literature on Automatic Text Summarization (ATS). This paper sheds light specifically on sparseness of NMF when applied to ATS and the impact it makes to the quality of the summary generated. In this study on NMF algorithm that supports sparseness is treated with various degree of sparsity and its performance impact on text summary generated is compared with other NMF algorithms without sparseness constraints.

Item Type: Conference or Workshop Item (Full Paper)
Additional Information: 5505/38875 ISBN: 978-1-4673-1420-6 DOI:10.1109/CYBER.2012.6392576
Uncontrolled Keywords: Non negative matrix, Automatic text summarization, factorization, sparseness.
Subjects: T Technology > T Technology (General)
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button): Kulliyyah of Information and Communication Technology > Department of Computer Science
Kulliyyah of Information and Communication Technology > Department of Computer Science
Depositing User: Assoc. Pro Normaziah Abdul Aziz
Date Deposited: 31 Oct 2014 15:22
Last Modified: 31 Oct 2014 15:22
URI: http://irep.iium.edu.my/id/eprint/38875

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year