Review on Technological Advancement and Textual Data Management Algorithms in NLP and CBIR Systems

Author(s):  
M. Diviya ◽  
A. Karmel
Author(s):  
Lettie Y. Conrad

For reference publishing, recent revolutions in digital communications undermine the success of traditional methods of information delivery and retrieval. The need to present online reference material for easy discoverability presents challenges and opportunities for technological advancement – for data management and website design. Equally, reference discoverability demands that we foster a greater understanding of what today’s researchers need, and incorporate that knowledge into modern publishing tactics.


2014 ◽  
Vol 36 (3) ◽  
pp. 457-470 ◽  
Author(s):  
Lei XIE ◽  
Ya-Feng YIN ◽  
Xi CHEN ◽  
Sang-Lu LU ◽  
Dao-Xu CHEN

1997 ◽  
Vol 2 (2) ◽  
pp. 10-22 ◽  
Author(s):  
U. Kelle

This article refers to recent debates about the potential methodological costs and benefits of computer use in qualitative research and about the relationship between methodological approaches (eg. ‘Grounded Theory’) on the one hand and computer-aided methods of qualitative research on the other. It is argued that the connection between certain computer-aided strategies and methodological approaches is far more loose than is often assumed. Furthermore, the danger of methodological biases and distortion arising from the use of certain software packages is overemphasized in current discussions, as far as basic tasks of textual data management (‘coding and retrieval’) usually performed by this software are concerned. However, with the development of more advanced and complex coding and retrieval techniques, which are regarded by some authors as tools for ‘theory building’ in qualitative research, methodological confusion may arise if basic prerequisites of qualitative theory building are not taken into consideration. Therefore, certain aspects of qualitative theory building which are relevant for computer aided methods of textual data management are discussed in the paper.


2017 ◽  
Vol 23 ◽  
pp. 60
Author(s):  
Altamash Shaikh ◽  
Anuj Maheshwari ◽  
Banshi Saboo ◽  
Ashok Jhingan ◽  
Shriram Kulkarni ◽  
...  

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