期刊名称：International Journal of Engineering and Computer Science
印刷版ISSN：2319-7242
出版年度：2015
卷号：4
期号：7
页码：13007-13010
出版社：IJECS
摘要：Twitter is one of the most popular Online Social Networks (OSN’s) nowadays. Twitter is valuable source of timelyinformation. Detecting events in the twitter is difficult task; information on Twitter is overwhelmed by huge volume of uninterestingtweets. Prior works may not be appropriate, because it focuses on only textual contents. In Twitter user may also inserts non- textualcontents of their interest. Event detection in Twitter Using mentioning practice of the user (EDT), a novel method that gives desiredresult of creation frequency of dynamic links (i.e. mentions) that users inserts in tweets to detect important events and find theimpactful words of the events The experiments we conducted shows that the proposed method can efficiently detect accurate (95%)and meaningful events
