An application of LDA and K-Means clustering with WordNet to extract topics and keyphrases from abstracts, with no released code, data, or quantitative evaluation.
Class-based n-gram models of natural language.Computationallinguistics, 18(4):467–479, 1992
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Estimating the Effective Topics of Articles and journals Abstract Using LDA And K-Means Clustering Algorithm
An application of LDA and K-Means clustering with WordNet to extract topics and keyphrases from abstracts, with no released code, data, or quantitative evaluation.