Yuhui Wang
Computer Systems Science and Engineering, Vol.33, No.4, pp. 287-291, 2018, DOI:10.32604/csse.2018.33.287
Abstract Event-related topics in social networking services are always the epitome of heated society issues, therefore determining the significance of analyzing its
evolution patterns. In this paper, we present a comprehensive survey on the tweets about "ransomware" in Sina Weibo, a famous social networking service
similar to twitter in China. The keyword corresponds to a global ransomware attack in May 2017, on which our example event-related topics are based.
We collect text data from sina Weibo and vectorize each tweets, before using a dynamic topic model to discover the event-related topics. The results of the
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