Editor/Reviewer loginFrequency : 12 issues per year
Subject : Computer Applications and Technology
ISSN : 2319–8656 (Online)
IJCATR Volume 5 Issue 2
Distributed Digital Artifacts on the Semantic Web
Susan P Kurian Vishnu S Sekhar
10.7753/IJCATR0502.1012
keywords : Opinion mining, Sentiment Analysis, Topical Relation, Opinion Target, Opinion Words
Exclusion of opinion targets and words from online reviews is an important and challenging task in opinion mining. The opinion mining is the use of natural language processing, text analysis and computational process to identify and recover the subjective information in source materials. This paper propose a Supervised word alignment model, which identifying the opinion relation. Rather than this paper focused on topical relation, in which to extract the relevant information or features only from a particular online reviews. It is based on feature extraction algorithm to identify the potential features. Finally the items are ranked based on the frequency of positive and negative reviews. Compared to previous methods, our model captures opinion relation and feature extraction more precisely. One of the most advantages that our model obtain better precision because of supervised alignment model. In addition, an opinion relation graph is used to refer the relationship between opinion targets and opinion words.
@artical{s522016ijcatr05021012,
Title = "Distributed Digital Artifacts on the Semantic Web",
Journal ="International Journal of Computer Applications Technology and Research(IJCATR)",
Volume = "5",
Issue ="2",
Pages ="99 - 103",
Year = "2016",
Authors ="Susan P Kurian
Vishnu S Sekhar"}
This paper proposes distributed digital artifacts for preventing man in the middle attack.
Resources are distributed among different domains to enable inter-domain communication.
Provide self reference and trusty URIs even when presented in a distributed environment.
Any manipulation to the data is efficiently identified and further access to that data is blocked.