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hi my name is Manish Gupta and in this video Iamp;#39;m going to talk about XML CNN which is basically a deep learning model for extreme multi-b text classification so letamp;#39;s get started um extreme multi- text classification is the problem where you have input as a text document and you want to classify it uh into multiple possible categories or labels out of a very large set of labels for example given a Wikipedia page you want to classify it into one of tens of thousands or probably hundreds of thousands of possible categories right so people have traditionally not been using deep learning models they have been using label embedding based models tree based models One Versus All classifiers and so on uh but this was the first time in some ways that uh uh these folks essentially tried to use deep learning models for this problem of extreme multi-level classification specifically for text the model is pretty simple uh if you think about it in in todayamp;#39;s world uh they ess
