Topic Modelling in Python using LDA | Latent Dirichlet Allocation explained | Naukri Learning
Understand the concepts of Topic Modelling & Latent Dirichlet Allocation in this video, shared by our Natural Language Processing expert.
Topic modeling enables us to automatically organize, understand, search, and summarize documents from huge archives, which will be impossible or very difficult to manually analyze.
It can help with the following:
1) Discovering the hidden patterns in a huge collection.
2) Classifying the documents into the identified themes
3) Organizing documents using classification
-------Contents of the video---------
00:00 Introduction
00:50 What is Topic Modeling?
04:39 What is Latent Dirichlet Allocation
08:55 Examples of LDA
11:54 Code demonstration
To explore Natural Language Processing courses, visit https://www.naukri.com/learning/nlp-a...
To know more about Machine Learning online courses & certifications, visit https://www.naukri.com/learning/machi...
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