Study on sparseness effects over NMF applied for automatic text summarization
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 capab...
Saved in:
Main Authors: | Batcha, Nowshath Kadhar, Murugesan, Raja Kumar, A. Aziz, Normaziah |
---|---|
Format: | Conference or Workshop Item |
Language: | English |
Published: |
2012
|
Subjects: | |
Online Access: | http://irep.iium.edu.my/38875/1/Study_on_sparseness_effects_over_NMF_applied_for_Automatic_Text_Summarization.pdf http://irep.iium.edu.my/38875/ http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6392576 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
An algebraic approach for sentence based feature extraction applied for automatic text summarization
by: Batcha, Nowshath Kadhar, et al.
Published: (2014) -
CRF based feature extraction applied for supervised automatic text summarization
by: K. Batcha, Nowshath, et al.
Published: (2013) -
Algebraic reduction in automatic text summarization - The state of the art
by: Kadar Batcha, Nowshath, et al.
Published: (2010) -
Intelligent model for automatic text summarization
by: Binwahlan, Mohammed Salem, et al.
Published: (2009) -
Challenges and Trends of Automatic Text Summarization
by: Foong, Oi Mean, et al.
Published: (2010)