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MB-ToT: An Effective Model for Topic Mining in Microblogs
2014
Applied Mathematics & Information Sciences
Topic mining on microblogging sites with sheer scale of instance messages and social network information, such as Twitter, is a hard and challenging problem. Although many text mining techniques and generative probabilistic models have been developed for static plain-text corpus, they are inclined to achieve unsatisfactory results in microblogs without considering that microblogs are temporally sequential and concerned with social network information. In this paper, we propose a novel topic
doi:10.12785/amis/080137
fatcat:knw4rqmpozczpimrgb7oftso4a