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Document-Term Count Matrices in Text Mining

Representing a corpus as a matrix of word counts per document: tokenisation and vocabulary construction, the bag-of-words assumption that discards order, and the very high dimension and sparsity that follow from a vocabulary far larger than the number of documents.

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Document-Term Matrix in Information Retrieval

The vector space model represents documents as bags of words, where each document is characterized by the frequency of each term it contains, ignoring word order and syntax; a collection of documents…