Text topic mining based on LDA and co-occurrence theory
Published 1 July 2012
Wu Maowen, Zhang Cai Dong, Weiyao Lan, Wu Qing Qiang
Citations8
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TL;DR
This paper analyzed the topic analysis in co-occurrence theory and LDA to determine the text topics of stem cell research literatures from 2006-2011 in PubMed.
Abstract
Based on the introduction to research background of stem cell and the significance of topic analysis of stem cell, this paper analyzed the topic analysis in co-occurrence theory and LDA. LDA and co-occurrence theory were used to determine the text topics of stem cell research literatures from 2006–2011 in PubMed. After stem cell research topics were obtained, they were analyzed in terms of topic label, topic research content and interrelation between topics. In the end, current deficiencies of LDA and future study are proposed.
Keywords
Computer ScienceBiochemistry, Genetics and Molecular Biology
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