期刊名称：International Journal of Advanced Research in Computer Engineering & Technology (IJARCET)
印刷版ISSN：2278-1323
出版年度：2015
卷号：4
期号：11
页码：4147-4151
出版社：Shri Pannalal Research Institute of Technolgy
摘要：Now-a-Days, the popularity of social networking services has increased tremendously, so the quantity of comments can increase at a high rate immediately after a social message is published. Thus the system focuses on the problem of short text summarization on the comment stream of a particular message from social network services. The users of the social sites always desire to get a brief understanding of a comment stream without reading the whole comment list. So this system attempts to group comments with similar content together and generate a concise opinion summary for the message. Since different users can request the summary at any moment, existing clustering methods cannot be directly applied because they cannot meet the real-time need of such application. So this comment stream summarization problem is modeled as incremental clustering problem. This approach can incrementally update clustering results with latest incoming comments in real time. As a result visualization interface is generated that help users to rapidly get an overview summary.
关键词：Real-time short text summarization; ; incremental clustering; comment streams; social network ; services.
