2014
DOI: 10.5120/15664-3467
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Correlated Concept based Topic Updation Model for Dynamic Corpora

Abstract: A rapid growth of documents available on the Internet, digital libraries, medical documents, news wires and other scientific document corpuses has motivated the researchers to propose many text mining techniques that help users to quickly retrieve trace and summarize the information in an effective way. Topic detection is one such technique which discovers precise, meaningful and concise labels for the formulated static document clusters. This technique helps the user to navigate and retrieve the needed inform… Show more

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Cited by 5 publications
(1 citation statement)
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“…Unsupervised non-hierarchical topic models are widely studied, such as LDA [Blei et al, 2003b], Probase-LDA [Yao et al, 2015] , TCC [Jayabharathy et al, 2014] and COT [Yao et al, 2016] etc. The most famous one is Latent Dirichlet Allocation (LDA).…”
Section: Topic Modelingmentioning
confidence: 99%
“…Unsupervised non-hierarchical topic models are widely studied, such as LDA [Blei et al, 2003b], Probase-LDA [Yao et al, 2015] , TCC [Jayabharathy et al, 2014] and COT [Yao et al, 2016] etc. The most famous one is Latent Dirichlet Allocation (LDA).…”
Section: Topic Modelingmentioning
confidence: 99%