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hello everyone Raghav is back with another video in this video we will discuss another technique from the NLP world which is the technique of topic modeling what is topic modeling in my words topic modeling is the process of extracting major themes from a given corpus of text data and why do we need it because the amount of the written material we encounter each day is simply beyond our processing capacity topic models can help to organize and offer insights for us to understand large collections of unstructured data a brief history about topic modeling original technique for topic modeling was developed in 1998 by Raghavan Tamaki and when Paulo then came the BLSA the probabilistic latent semantic analysis created by Thomas Hoffman and most commonly used technique called the LDA latent desolate allocation was developed in 2002 by Andrew ng David Bly and Michael Jordan another alternative to Lda is the h lda the hierarchical latent tree analysis but in this video I am only going to show
