What is topic modeling?
An example of an AI chatbot conversation about topic modeling in natural language processing.
What is topic modeling?
Topic modeling is a technique in natural language processing that identifies topics within a collection of documents.
How does topic modeling work?
It works by analyzing the words in documents and grouping them into clusters that represent different topics.
What are some common algorithms used for topic modeling?
Common algorithms include Latent Dirichlet Allocation (LDA) and Non-negative Matrix Factorization (NMF).
Can you give me an example of topic modeling in action?
Sure! For instance, analyzing news articles can reveal topics like politics, sports, and technology based on word patterns.
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