MB-SinglePass:Microblog Topic Detection Based on Combined Similarity
Yongzhong Huang · 2012
Topic detection achieves quite good result in the traditional media research.This paper discussed the refiness and performance evaluation of the topic detection technique in the new kind of medias such as microblog,proposed the MB-SinglePass topic detection algorithm on the basis of the structured information such as the relationships of attentions and fans between contacts,the inner connection relationships such as forwarding and comment between posts.Beside considering the above microblog characteristics,MB-SinglePass introduces the characteristics extension technique in order to enrich characteristics information.At the same time,the paper used the combined similarity aiming at the shor-tage of singly utilizing the Jaccard similarity coefficient,cosine based similarity and semantic similarity.Compared with the traditional algorithms,MB-SinglePass shows better performance on the actual dataset of sina microblog.Additionally,experiment according to the similarity strategy reveals better result by using combined similarity than singular similariy.