期刊名称：International Journal of Innovative Research in Science, Engineering and Technology
印刷版ISSN：2347-6710
电子版ISSN：2319-8753
出版年度：2017
卷号：6
期号：7
页码：15441
DOI：10.15680/IJIRSET.2017.0607386
出版社：S&S Publications
摘要：Now a days with increased use of social media, user reviews on any product plays a significant role. Theexisting opinion mining techniques operate only on single review corpus; it doesn’t consider distribution of opinionfeatures across different corpora. A new technique is proposed to extract opinion features from online reviews acrosstwo corpora, one a given review corpus and other is contrasting corpus. This discrepancy is evaluated using domainrelevance. The first step is to find candidate opinion features in domain review corpus using syntactic dependence rules.This evaluate intrinsic domain relevance scores for each candidate on domain-dependent corpora and extrinsic domainrelevance score on domain-independent corpora. A candidate features which are less generic and more domain specificare the final opinion features. This interval thresholding is called as the intrinsic and extrinsic domain relevance.
