Topic Modelling in Python using LDA Latent Dirichlet Allocation explained Naukri Learning

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http://youtube.com/watch?v=98lOVruf4cY

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... • ------------------------------------------------------------------------------------ • About Naukri Learning • Naukri Learning helps you discover, search compare online courses to choose the best of the lot for your professional growth. We are constantly working to bring you a carefully curated list of courses and certifications from leading course providers universities, so you can fulfil your career ambitions through continuous upskilling. • Visit us at https://www.naukri.com/learning/ • ------------------------------------------------- • Follow us on: • LinkedIn • / naukri-learning1 • Facebook - / naukrilearning • Like, share subscribe to stay tuned with more learning content • #machinelearning #naturallanguageprocessing

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