NLP Tutorials — Part 27: Topic Modelling

Hello and welcome back to the NLP Tutorials blog post series. We shall cover an interesting topic in the unsupervised learning section under NLP — Topic Modelling. Topic Modelling is a process wherein the algorithm is able to automatically detect the topics covered/occuring in a given text extract/document. It can segregate the topics in a vector space and provides access to them via ‘topic clusters’ for viewing the terms contributing towards a topic. One major application would be to have a system to find out the latest trending topic or emerging topic for a big corpus.