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welcome back data centric scholars if youamp;#39;re joining us for the first time welcome to my channel i am opal so todayamp;#39;s topic has been requested by one of four scholars who is doing phd studies and wanted me to take a look at latent derelict allocation which is another term for topic modeling and in essence this topic looks at how documents are made up of different topics and how topics are made up of different words so with latent derelict allocation lda the application of this particular data mining method is under circumstances where you have several documents and you would like to group them based on topics that are shared so if you have an initiative where you are looking at text documentation and you need to group documents that are similar together um based on themes this is an excellent um technique for you to use iamp;#39;m going to demonstrate this in r and i will go through the results how we interpret them so be looking at some visualizations so if you two ar