Noam Ross • 8/22/2014

More ESA 2014 Program Text-Mining: Topics as Communities

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This technical article details the application of Latent Dirichlet Allocation (LDA) topic modeling to text-mine abstracts from the 2014 ESA conference. It explains the methodology, the use of the LDAvis package for interactive visualization, and interprets the resulting 56 topics as scientific communities, drawing parallels to ecological species assemblages.

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#data visualization #R #Text Mining
More ESA 2014 Program Text-Mining: Topics as Communities

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