Boosting Text Clustering using Topic Selection

P. Ormeno
P. Ormeno
C. Valle
C. Valle

international conference on pattern recognition, 2018.

被引用0|引用|浏览64|DOI:https://doi.org/10.1049/cp.2018.1285
其它链接academic.microsoft.com

摘要

Latent Dirichlet Allocation (LDA) is a key topic modeling algorithm in the text mining field. Despite the great success of LDA, the state of the art reports that LDA is sensitive to the choice of hyper parameters and accordingly, the quality of the topics found depends on tuning. Instead of looking for the optimal hyper parameters of LDA ...更多

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