International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
|
Volume 136 - Issue 2 |
Published: February 2016 |
Authors: Anjali Sharma, Mukesh Rawat |
![]() |
Anjali Sharma, Mukesh Rawat . Comparison and Analysis of Two Approaches to Find Novel Documents out of Several Documents. International Journal of Computer Applications. 136, 2 (February 2016), 30-34. DOI=10.5120/ijca2016908325
@article{ 10.5120/ijca2016908325, author = { Anjali Sharma,Mukesh Rawat }, title = { Comparison and Analysis of Two Approaches to Find Novel Documents out of Several Documents }, journal = { International Journal of Computer Applications }, year = { 2016 }, volume = { 136 }, number = { 2 }, pages = { 30-34 }, doi = { 10.5120/ijca2016908325 }, publisher = { Foundation of Computer Science (FCS), NY, USA } }
%0 Journal Article %D 2016 %A Anjali Sharma %A Mukesh Rawat %T Comparison and Analysis of Two Approaches to Find Novel Documents out of Several Documents%T %J International Journal of Computer Applications %V 136 %N 2 %P 30-34 %R 10.5120/ijca2016908325 %I Foundation of Computer Science (FCS), NY, USA
Novelty detection system is used to extract documents with new or novel information from list of documents. Without looking for lot of redundant information, we can get useful information in a limited time. Cosine similarity and Language modeling are the two emerging techniques of information retrieval in today’s scenario. The current study performs the analysis and comparison between these two models.