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Question

What is a challenge in introducing a flexible number of topics in LDA, as compared to clustering methods allowing for an adaptable number of clusters?

a.

The lack of meaningful distinctions in the training sample

b.

The requirement for specific modeling requirements

c.

The need for handcrafted multidomain ontologies

d.

The inability to handle hierarchical structures

Posted under Big Data Computing

Answer: (a).The lack of meaningful distinctions in the training sample Explanation:The challenge in introducing a flexible number of topics in LDA, as compared to clustering methods allowing for an adaptable number of clusters, is the lack of meaningful distinctions in the training sample.

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Q. What is a challenge in introducing a flexible number of topics in LDA, as compared to clustering methods allowing for an adaptable number of clusters?

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