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so um uh letamp;#39;s just jump straight into this so suppose you have a collection of documents right so these are documents um and weamp;#39;re going to build a little index out of them so uh these are quite repetitive and these are all the all the terms that are going that weamp;#39;re going to um Index right so um the terms are going to serve as the heads for our lists right this is going to be our indexing units weamp;#39;re going to store the positional the occurrence information of each one of those terms so um how weamp;#39;re going to do that first uh in the previous lectures we talked about representing documents as vectors right so um documents D1 it has two occurrences of the word he it has uh two occurrences of the word likes it has one occurrence on wink one occurrence of drink So thatamp;#39;s its uh Vector right two for he one for drink zero for ink and so on so youamp;#39;ve seen that before hopefully itamp;#39;s really really um uh really straightforward and w
