Topic evolution based on LDA and HMM and its application in stem cell research

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	Topic evolution based on LDA and HMM and its application in stem cell research
	Wu, Qingqiang ; Zhang, Caidong ; Hong, Qingqi ; Chen, Liyan ; Wu QQ(吴清强) ; Hong QQ(洪清启) ; Chen LY(陈俐燕)
刊名	http://dx.doi.org/10.1177/0165551514540565
	2014
关键词	Cytology Hidden Markov models Statistics
英文摘要	This paper analyses topic segmentation based on the LDA (Latent Dirichlet Allocation) model, and performs the topic segmentation and topic evolution of stem cell research literatures in PubMed from 2001 to 2012 by combining the HMM (Hidden Markov Model) and co-occurrence theory. Stem cell research topics were obtained with LDA and expert judgements made on these topics to test the feasibility of the model classification. Further, the correlation between topics was analysed. HMM was used to predict the trend evolution of topics over various years, and a time series map was used to visualize the evolutional relationships among the stem cell topics. ? The Author(s) 2014.
语种	英语
出版者	SAGE Publications Ltd
内容类型	期刊论文
源URL	[http://dspace.xmu.edu.cn/handle/2288/90404]
专题	软件学院－已发表论文
推荐引用方式 GB/T 7714	Wu, Qingqiang,Zhang, Caidong,Hong, Qingqi,et al. Topic evolution based on LDA and HMM and its application in stem cell research[J]. http://dx.doi.org/10.1177/0165551514540565,2014.
APA	Wu, Qingqiang.,Zhang, Caidong.,Hong, Qingqi.,Chen, Liyan.,吴清强.,...&陈俐燕.(2014).Topic evolution based on LDA and HMM and its application in stem cell research.http://dx.doi.org/10.1177/0165551514540565.
MLA	Wu, Qingqiang,et al."Topic evolution based on LDA and HMM and its application in stem cell research".http://dx.doi.org/10.1177/0165551514540565 (2014).