Document-term matrix: Difference between revisions

Revision as of 22:41, 6 August 2023

Revision as of 04:04, 9 December 2023

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{{More citations needed|date=January 2021}}

A '''document-term matrix''' is a mathematical [[Matrix (mathematics)|matrix]] that describes the frequency of terms that occur in a collectioneach ofdocument documentsin a collection. In a document-term matrix, rows correspond to documents in the collection and columns correspond to terms. This matrix is a specific instance of a '''document-feature matrix''' where "features" may refer to other properties of a document besides terms.<ref>{{Cite web|title=Document-feature matrix :: Tutorials for quanteda|url=https://tutorials.quanteda.io/basic-operations/dfm/|access-date=2021-01-02|website=tutorials.quanteda.io}}</ref> It is also common to encounter the transpose, or '''term-document matrix''' where documents are the columns and terms are the rows. They are useful in the field of [[natural language processing]] and [[computational text analysis]].<ref>{{Cite web|title=15 Ways to Create a Document-Term Matrix in R|url=https://www.dustinstoltz.com/blog/2020/12/1/creating-document-term-matrix-comparison-in-r|access-date=2021-01-02|website=Dustin S. Stoltz|language=en-US}}</ref>

While the value of the cells is commonly the raw count of a given term, there are various schemes for weighting the raw counts such as, row normalizing (i.e. relative frequency/proportions) and [[tf-idf]].