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Machine Learning

Topic Modeling using NMF and LDA

Topic modeling is a statistical model to discover hidden semantic patterns in unstructured collection of documents. Large collection of documents are represented in terms of topics and topics are represented in terms of words. This Top-Down approach will help in exposing hidden insights from the corpus. In this approach, every document is a distribution of topics and every topic is a distribution of words.

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