|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.
|Computers Already Learn From Us. But Can They Teach Themselves?
Scientists are exploring approaches that would help machines develop their own sort of common sense.