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What are the advantages and disadvantages of Latent Dirichlet Allocation?
Can you tell me about the advantages and disadvantages of Latent Dirichlet Allocation?
Latent Dirichlet Allocation (LDA) is a popular topic modeling technique. Its advantages include the ability to uncover hidden topics within a large corpus of text, and to label documents based on those topics. However, one disadvantage is that it can be computationally expensive, especially with large datasets. Additionally, LDA may struggle with certain types of text, such as short documents or those with a high degree of noise.