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Review on the LDA-based Techniques Detection for the Field Emerging Topic |
Fan Yunman1,2, Ma Jianxia1 |
1. The Lanzhou Branch of National Science Library, Chinese Academy of Sciences, Lanzhou 730000, China; 2. University of Chinese Academy of Sciences, Beijing 100049, China |
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Abstract Based on LDA,this paper reviews the development of the LDA model and several models which improve the LDA for the filed emerging topic detection.It describes two parameter inference algorithms of variational derivation and Gibbs sampling, and reviews the improvement of LDA in recent years,including the one modeling the evolution of the topics,the one modeling jointly with the content of document and meta data,the one with online learning, the topic evolution method combining LDA and citation analysis and so on;then compares and analyses different kinds of improvement models in details. The paper also reviews several main visualization techniques such as NIH-VB,TIARA and VxInsight. Finally,it discusses the key research problems of detecting the emerging topic by using LDA.
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Received: 15 October 2012
Published: 12 March 2013
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