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Hi my name is Jason and youamp;#39;re watching Fri-Jays and todayamp;#39;s video will be talking about the difference between sparse factor and dense factor in annop and this is something that a lot of people have been struggling with and i hope to make it a bit more clear today well if we look at a vector a vector is actually a list of numbers so this could be integers or float and the factory is in mercury representation of text as we know computers donamp;#39;t understand text to understand numbers so we have to convert text into numbers so that the computer can understand this now vectors are used for things such as input for a classification model to calculate sentence similarity to cluster sentences and a lot more and if you look at the sparse vector which also is actually a bag of words representation and this is the part where we convert text into a fixed length vector by counting how many times each word appears in contrast dense vector AKA embedding vector is a learned rep
