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Document Vector Table is used while implementing the Bag of Words algorithm. In a document vector table, the header row contains the vocabulary of the corpus and other rows correspond to different documents. If the document contains a particular word it is represented by 1 and the absence of a word is represented by 0 value.
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Document Vector Table is a table containing the frequency of each word of the vocabulary in each document.
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