Editor/Reviewer loginFrequency : 12 issues per year
Subject : Computer Applications and Technology
ISSN : 2319–8656 (Online)
IJCATR Volume 5 Issue 2
Question Level based Opinion Generation in Web based Interactive Systems
Rajimol R Vinodh P Vijayan
10.7753/IJCATR0502.1009
keywords : Opinion generation system, Lexical based algorithm, Machine learning, Transformation based classification, Keyword identification
The greatest challenge in opinion generation system is to understand the meaning of the question asked and answering the question correctly based on the knowledge level of users. The solution for this is the question level based opinion generation system, which generate opinions by understanding the in-depth meaning of the question. Opinions are extracted from reviews on different websites. System uses lexical based algorithm for finding the semantic relation between words and thus obtains the keyword used to retrieve the opinions. System also uses transformation based classification to learn the system. Transformation classification is based on rules and is ends up when no more transformation is possible for the data.
@artical{r522016ijcatr05021009,
Title = "Question Level based Opinion Generation in Web based Interactive Systems",
Journal ="International Journal of Computer Applications Technology and Research(IJCATR)",
Volume = "5",
Issue ="2",
Pages ="88 - 91",
Year = "2016",
Authors ="Rajimol R
Vinodh P Vijayan"}
This paper proposes an opinion generation system.
System generates opinions based on level of user.
System make use of machine learning to generate intelligent opinions.
In the simulation, acceptability and response time of opinions are evaluated.