LDA-based Research Domain Hotspots and Trend Analysis
Jin Ming-ju · Computer Technology and Development · 2012
Along with continuing in-depth research and the advancement of modern information dissemination technologies,more and more papers in a research domain are becoming available.Obviously,it's quite difficult for researchers to read and analyze the huge amounts of papers for thoroughly detecting the research hotspots and trend of a domain.Targeting at solving the above problem,a LDA-based approach is proposed to automatically recognize the hotspots and trend of a research domain.Gibbs sampling is used to calculate the LDA model parameters and determine the research hotspots as well as their representative words.The trend analysis is achieved by post discretizing research topics over time.In the experiments,Chinese information processing is chosen as the target research domain.The research hotspots and trend over the ten year period from 2001 to 2010 were obtained by automatically analyzing all the papers published on the journal of Chinese information processing during that period.Preliminary experiments demonstrate the effectiveness of the proposed approach.