Editor/Reviewer loginFrequency : 12 issues per year
Subject : Computer Applications and Technology
ISSN : 2319–8656 (Online)
IJCATR Volume 5 Issue 2
Co-Extracting Opinions from Online Reviews
Beema K S Mitha Rachel Jose
10.7753/IJCATR0502.1011
keywords : Prim’s algorithm, MST, BFS, Route update.
One of the greatest challenge in MANETs for data transmission is route update. The route update in MANETs is implemented with the help of Breadth first search algorithm and Prim’s algorithm. Using Prim’s algorithm in route update mechanism will reduce the end-to-end delay to a greater extend in MANETs. The end-to-end delay can lead to a performance degradation in the network. Different algorithms can be used to update the route information in MANETs. The traditional approaches such as Breadth First Search algorithm used will increase the end-to-end delay since this algorithm will go through all the parent nodes before it goes to the children nodes.
@artical{b522016ijcatr05021011,
Title = "Co-Extracting Opinions from Online Reviews",
Journal ="International Journal of Computer Applications Technology and Research(IJCATR)",
Volume = "5",
Issue ="2",
Pages ="95 - 98",
Year = "2016",
Authors ="Beema K S
Mitha Rachel Jose"}
This paper proposes an extracting opinions from online reviews.
Topical relation, to extract the relevant features from particular online reviews.
Items are ranked based on the frequency of positive and negative reviews.
Only analyze the adjectives or nouns thereby improving the performance.