Usage of singular value decomposition matrix for search latent semantic structures in natural language texts

2015 ◽  
Author(s):  
A. A. Kuandykov ◽  
S. B. Rakhmetulayeva ◽  
Y. M. Baiburin ◽  
A. B. Nugumanova
Keyword(s):  
Singular Value Decomposition ◽  
Natural Language ◽  
Singular Value ◽  
Decomposition Matrix ◽  
Value Decomposition

scholarly journals Steganography Arabic Text Based on Natural Language Process Documents

2018 ◽  
Vol 1 (25) ◽  
pp. 457-480
Author(s):  
Hanaa M. Ahmed ◽  
Maisa'a A. A. Khohder
Keyword(s):  
Singular Value Decomposition ◽  
Natural Language ◽  
Rapid Development ◽  
Arabic Language ◽  
Singular Value ◽  
Secret Message ◽  
Linguistic Steganography ◽  
The One ◽  
Value Decomposition ◽  
Natural Language Process

: Obscurity is a main reason whereas computers can not know natural language. It have made great transaction steps trend developing instrument to morphological and syntactic analyzers for Arabic . One of the manners used in security areas is  steganography. The rapid development of steganography scripts, it is a large security and confidentiality problem, it becomes necessary to find appropriate protection because of the significance, accuracy and sensitivity of the data during transmitted. In this research is offer in a new method and to use one level to hide, this level is hiding by embedding and addition. The one level is embed a secret message twice, one bit in the LSB in the FFT and the addition of one kashida and add Single-Double Quotation in the same secret message. Using Random Singular Value Decomposition (RSVD) is NRG to find positions that are hiding within the text.      Linguistic steganography is covering all the techniques that deal with using written natural language to hide secret message. in this research presents a linguistic steganography for scripts written in Arabic language, using kashida, Single-Double Quotation and Fast Fourier Transform on the bases of using new technique entitled Random Singular Value Decomposition  (RSVD) as allocation to hide secret message. The proposed approach is an attempt to present a transform linguistic steganography using one level for hiding to improve implementation of kashida and Single-Double Quotation , and improve the security of the secret message by using Random Singular Value Decomposition  (RSVD). Are testing this method in terms of security and capacity, transparency, and robustness and this is way better than previous methods. The proposed algorithm ideal steganography properties.

Improving TF-IDF with Singular Value Decomposition (SVD) for Feature Extraction on Twitter

2017 ◽  
Author(s):  
Ammar Ismael Kadhim ◽  
Yu-N Cheah ◽  
Inaam Abbas Hieder ◽  
Rawaa Ahmed Ali
Keyword(s):  
Feature Extraction ◽  
Singular Value Decomposition ◽  
Singular Value ◽  
Value Decomposition

Multi-scale singular value decomposition polarization image fusion defogging algorithm and experiment

2020 ◽  
Vol 13 (6) ◽  
pp. 1-10
Author(s):  
ZHOU Wen-zhou ◽  
◽  
FAN Chen ◽  
HU Xiao-ping ◽  
HE Xiao-feng ◽  
...  
Keyword(s):  
Singular Value Decomposition ◽  
Image Fusion ◽  
Singular Value ◽  
Multi Scale ◽  
Polarization Image ◽  
Value Decomposition
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