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-and-text-mining-courses-certification-training-st551-tg1399 To know more about Machine Learning online courses & certifications, visit https://www.naukri.com/learning/machine-learning-courses-certification-training-st553?fftid=hamburger ------------------------------------------------------------------------------------ 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 https://www.linkedin.com/company/naukri-learning1/ Facebook - https://www.facebook.com/NaukriLearning Like, share & subscribe to stay tuned with more learning content #machinelearning #naturallanguageprocessing