期刊名称：Journal of Theoretical and Applied Information Technology
印刷版ISSN：1992-8645
电子版ISSN：1817-3195
出版年度：2012
卷号：36
期号：2
页码：182-189
出版社：Journal of Theoretical and Applied
摘要：Web opinions are available for the social sites due to the advancement in the technology. The web opinion acts as an interface between the internet users and web. It allows internet users to communicate and express their opinions. But analyzing and clustering of the web opinion is a challenging task. The clustering of the typical document differs from clustering of the web opinion. The web opinions are taken from the social networks. Analyzing the social network helps in preventing the crimes, terrorists activities etc. The scalable density based algorithm enables the identification of themes within discussions in web social networks and their development. The predefined set for clustering is useful in web opinion clustering. The ranking methods that are being used for clustering are the XMLTF*IDF and Bin Ranking
关键词：Clustering; Scalable Density Based Clustering; Web opinion; Ranking; DBSCAN
