When should I use LDA for topic modeling?
An example of an AI chatbot conversation about when to use LDA for topic modeling.
What is LDA and when should I use it?
LDA stands for Latent Dirichlet Allocation. It's a generative statistical model used for topic modeling.
What kind of data is best suited for LDA?
LDA works best with large text corpora where you want to discover hidden topics.
Are there any limitations to using LDA?
Yes, LDA assumes that documents are mixtures of topics and may not perform well with very short texts.
How do I evaluate the results of LDA?
You can use coherence scores or human judgment to evaluate the quality of the topics generated by LDA.
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