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Date of Publication:2018-01-01

Journal:中文信息学报

Affiliation of Author(s):电子信息与电气工程学部

Volume:32

Issue:5

Page Number:105-113

ISSN No.:1003-0077

Abstract:With the explosive growth of networks ,the internet public opinion becomes a non -negligible issue .A typical example is focus on the events about Xinjiang Violence happened in recent years .In order to examine the cor-responding public opinion trends ,this paper investigates the key words of topic and the change of both topic strength and its content .On the crawled news about Xinjiang Violence from 2013 .01 to 2015 .12 ,we apply the dynamic topic model (DTM) which generate topics by applying NMF twice .Compared to HDP ,we reveal some properties by vis-ualized analysis .

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