https://towardsdatascience.com/latent-dirichlet-allocation-lda-a-guide-to-probabilistic-modeling-approach-for-topic-discovery-8cb97c08da3c
https://github.com/aawanRahman/latent-dirichlet-allocation/blob/master/topic_modelling_LDA.ipynb
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Latent Dirichlet Allocation(LDA): A guide to probabilistic modelling approach for topic discovery The above figure is a graphical representation of LDA. In the above figure, we can see that there are six parameters-(alpha) and (eta) represents Dirichlet distribution.The high alpha value indicates that each document contains most of the topics and on the contrary, a lower alpha value indicates that the documents are likely to contain a fewer number of topic. towardsdatascience.com |